Cited by 237Internet of Things and AIIoT and Edge/Fog ComputingHealthcare during COVID-19 Pandemic

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

Open access
Mohd Aman, Azana Hafizah, Hassan, Wan Haslina, Sameen, Shilan, Attarbashi, Zainab Senan, Alizadeh, Mojtaba, Latiff, Liza Abdul·2021·Journal of Network and Computer Applications

Abstract

In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with other strategies to curb the spread of COVID-19, improve the safety of front-line personnel, increase efficacy by lessening the severity of the disease on human lives, and decrease mortality rates. Significant inroads have been achieved in terms of applications and technology, as well as security which have also been magnified through the rapid and widespread adoption of IoMT across the globe. A number of on-going researches show the adoption of secure IoMT applications is possible by incorporating security measures with the technology. Furthermore, the development of new IoMT technologies merge with Artificial Intelligence, Big Data and Blockchain offers more viable solutions. Hence, this paper highlights the IoMT architecture, applications, technologies, and security developments that have been made with respect to IoMT in combating COVID-19. Additionally, this paper provides useful insights into specific IoMT architecture models, emerging IoMT applications, IoMT security measurements, and technology direction that apply to many IoMT systems within the medical environment to combat COVID-19.

AI snapshot

Written from the paper’s full text.

TL;DR

This review surveys Internet of Medical Things (IoMT) applications, architectures, technologies, and security measures used during the COVID-19 pandemic, drawing on past epidemics and country cases. It finds four-layer architectures most common, security and privacy concerns prominent, and AI, big data, and blockchain promising but still facing standardization and validation gaps.

Key findings

  • The four-layer IoMT architecture is the most preferred framework, with layer-analysis ratios including application 19%, network 16%, sensing 13%, and perception 9%; the proposed pandemic architecture spans device, communication network, IoT platform, and application layers.
  • Security is a major concern: the paper cites that more than 90% of IoT device transmission is unencrypted and 57% of IoT devices are vulnerable to attacks; security-method ratios are authenticity 48%, integrity 29%, confidentiality 17%, and availability 6%, with common attacks including DoS, injection, data leakage, and device safety.
  • AI and big data functions in reviewed IoMT work are distributed as predictive model 35%, data mining and analytics 35%, decision making 24%, and systematic classification 6%; examples include COVID-19 diagnostic, mortality-risk, genome-classification, and drug-candidate models.
  • Country applications include Taiwan’s Temp Pal wearable (3 g patch, 36 h battery per charge, quarantine-breach alert within 15 min), South Korea’s 3T strategy (call center handling up to 70,000 calls daily; testing capacity raised from 10,000 to 20,000 daily), and Germany’s smartwatch app and Bosch rapid diagnostic device (hours rather than days).

Methods

  • Design: a review/survey paper providing a comprehensive overview of IoMT architecture, applications, technologies, and security developments in COVID-19, with sections on past epidemics and country cases.
  • Data: published literature, reports, and country examples, including Taiwan, South Korea, Germany, and past SARS, MERS, and Ebola outbreaks; COVID-19 figures are cited from WHO and other sources.
  • Analysis: qualitative synthesis and tabular summaries, including percentage ratios from reviewed architecture, AI/big data, and security-method tables; no primary data collection or formal systematic review protocol is stated.

Limitations

  • Stated in the paper: privacy concerns from digital surveillance and contact tracing, misinformation/fake news risks, need to standardize decentralized data, difficulty selecting suitable ML diagnostic models, and challenges from exponentially growing datasets and benchmark/update requirements; a quoted German official also says many innovations are planned but not yet implemented.
  • Evident from the text: no formal systematic search or inclusion criteria are described; the reported percentage ratios come from selected reviewed works and may not be exhaustive; the proposed architecture and security interventions are not empirically validated; country examples are descriptive and not evaluated with controlled outcomes.

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Integrity signals

Registry

Crossref · 10.1016/j.jnca.2020.102886

Cites

Statistics

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Claims the paper makes

0 of 94 cited sources checked · 0 supported · 0 flagged

  • Findingown data
    § 6. Artificial intelligence and big data technology in IoMT

    Predictive model and data analytics are the most used functions, followed by decision making, among the analyzed IoMT artificial intelligence and big data technologies.

    “The predictive model and data analytics are the most used functions, followed by decision making.”
    Quote in the paperNot a substantial claim
  • Premisecitation

    The Singapore government used one of the few IoT applications for SARS to implement home quarantine for suspected infected people using online cameras.

    “One of the few IoT applications used for SARS was by the Singapore government. This was to implement home quarantine for suspected infected people with SARS through the use of online cameras (WHO, 2006).”
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    § 4. Past epidemics and technology utilized

    A system integrating IoMT architecture and technology comprising RFID, WBAN, and cloud services can provide reliable healthcare monitoring and early-stage detection for pandemic diseases.

    “A system that integrates IoMT architecture and technology comprises of RFID, WBAN, and cloud services is able to provide a reliable healthcare monitoring and early-stage detection system for pandemic diseases (Sareen et al., 2016).”
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    § 1. Introduction

    IoMT systems are excellent candidates for preventing, predicting, and monitoring emerging infectious diseases like COVID-19.

    “are excellent candidates for preventing, predicting, and monitoring emerging infectious diseases (Christaki, 2015; Alabdulatif et al., 2019) like COVID-19.”
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    § 1. Introduction

    Use of IoMT as a health monitoring system provides real-time surveillance through wearable health-monitoring devices, WBAN, AI, and cloud-based remote health testing.

    “The use of IoMT as a health monitoring system provides real-time surveillance through the use of wearable health-monitoring devices, Wireless Body Area Networks (WBAN), artificial intelligence (AI), and cloud-based remote health testing.”
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    Findingreasoning
    § 3. IoMT pandemic mitigation architecture

    The four-layer architecture is the most preferred framework because it contains classification of application, virtual platform, network communication, and physical aspects of IoT.

    “The four-layer architecture is the most preferred framework, as it contains classification of application, virtual platform, network communication, and physical aspects of IoT.”
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    Findingnone given

    Year 2020 has shown a significant increase in the merging of IoMT, Blockchain, Artificial Intelligence, and Big Data for the benefits of human health.

    “Fig. 14 concluded the technology timeline for IoMT disease mitigation, year 2020 has shown significant increase in the merging of IoMT, Blockchain, Artificial Intelligence, and Big Data for the benefits of human health.”
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    Findingnone given
    § 7. IoMT security

    The most common IoMT cyber attacks are Denial-of-Service attacks, injection attacks, data leakage, and IoMT physical safety.

    “Famous known IoMT cyber attacks are Denial-of-Service (DoS) attacks, Injection attacks, data leakage, and IoMT physical safety, as shown in Table 5 .”
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    Interpretationnone given
    § Abstract

    IoMT has been deployed in many countries in tandem with other strategies to curb the spread of COVID-19.

    “In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with other strategies to curb the spread of COVID-19”
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    Premisecitation
    § 1. Introduction

    IoMT systems are increasingly diverse and prevalent.

    “Internet of Medical Things (IoMT) systems are increasingly diverse and prevalent”
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    Premisecitation

    Mobile phone usage is widespread in some African countries, and SMS service is used in Madagascar as a reporting method for surveillance systems.

    “The mobile phone usage is widespread in some African countries; as an example, SMS service is used in Madagascar as a reporting method for surveillance systems (Aliya, 2014; Louis, 2012; Randrianasolo et al., 2010).”
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    Interpretationnone given
    § Abstract

    Ongoing research shows that adoption of secure IoMT applications is possible by incorporating security measures with the technology.

    “A number of on-going researches show the adoption of secure IoMT applications is possible by incorporating security measures with the technology.”
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    § Abstract

    Significant inroads have been achieved in IoMT applications, technology, and security.

    “Significant inroads have been achieved in terms of applications and technology, as well as security”
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    § 4. Past epidemics and technology utilized

    During SARS-CoV, MERS-CoV, and Ebola epidemics, IoT technology had not yet matured, which could explain why few approaches used it to combat the epidemics.

    “However, during Severe Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome Coronavirus (MERS-CoV), and Ebola epidemic, the IoT technology had not yet matured; hence it could be the reason why few approaches were made to use it to combat the epidemics.”
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    § Abstract

    The rapid and widespread adoption of IoMT across the globe has magnified the inroads in applications, technology, and security.

    “which have also been magnified through the rapid and widespread adoption of IoMT across the globe”
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    § Abstract

    IoMT deployment increases efficacy by lessening the severity of the disease on human lives.

    “increase efficacy by lessening the severity of the disease on human lives”
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    § Abstract

    IoMT deployment decreases mortality rates.

    “decrease mortality rates”
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    Interpretationnone given
    § Abstract

    Development of new IoMT technologies merged with AI, Big Data, and Blockchain offers more viable solutions.

    “Furthermore, the development of new IoMT technologies merge with Artificial Intelligence, Big Data and Blockchain offers more viable solutions.”
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    Premisecitation

    Revealing accurate real-time information such as the list of hospitals affected by MERS-CoV is important because it prevents more infections and minimizes the number of positive cases.

    “Revealing accurate real-time information such as the list of hospitals affected by MERS-CoV is important as it prevents more infections and minimized the number of positive cases (Noh et al., 2020).”
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    § Abstract

    IoMT deployment improves the safety of front-line personnel.

    “improve the safety of front-line personnel”
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    Premisecitation

    GIS systems were used in the SARS-CoV epidemic in 2002 and seasonal influenza in 2020.

    “The GIS systems were used in the SARS-CoV epidemic in 2002 (Boulos, 2004; Braden et al., 2013) as well as seasonal influenza in 2020 (Control and Prevention, 2020).”
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    Premisecitation

    According to Taiwan's Cheng Hsin Hospital, the cloud-based temperature monitor system saved medical personnel time, reduced recording errors, decreased consumption of personal protective equipment, and lowered the risk of infection to front-line personnel.

    “According to Taiwan's Cheng Hsin Hospital where the technology is deployed (Koh, 2020), the cloud-based temperature monitor system has saved medical personnel time, reduced recording errors, decreased consumption of personal protective equipment (PPE), and most importantly, lowered the risk of infection to front-line personnel.”
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    Premisecitation
    § 5. IoMT application and technology for COVID-19

    IoT has already been used in identifying and tracking the origin of an outbreak and ensuring the quarantine of potentially infected patients.

    “IoT has already been used in identifying and tracking the origin of an outbreak and ensuring the quarantine of potentially infected patients (Song et al., 2020).”
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    Premisecitation

    A recent poll indicates that 84% of Taiwanese people firmly support the government tactics to impede the spread of the disease.

    “Although privacy concerns were abounded, a recent poll indicates the majority (84%) of Taiwanese people firmly support the government tactics to impede the spread of the disease, which has resulted in a significantly fewer number of cases compared to neighboring China (Taiwanese Public Opinion Foundation, 2020).”
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    Premisecitation

    South Korea's Trace strategy required affected travelers to undergo compulsory self-quarantine for 14 days before any swab test was issued.

    “Affected travelers are required to undergo compulsory self-quarantine for 14 days (Chinazzi et al., 2020) before any test of swab is issued.”
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    Premisecitation

    South Korea's approach to curbing COVID-19 transmission is known as the 3 T, which stands for Trace, Test, and Treat.

    “Their approach, known as the 3 T, stands for Trace, Test, and Treat (MOHW.kr, 2020, Leite et al., 2019).”
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    Premisecitation

    Bosch developed a rapid diagnostic device that is able to confirm COVID-19 infection in a matter of hours, as opposed to days for results, and may also detect other respiratory diseases such as influenza A and B.

    “Bosch has also developed a rapid diagnostic device that is able to confirm COVID-19 infection in a matter of hours (as opposed to days for results). The device enables quick identification and isolation of infected individuals, thereby reducing the spread of the disease. Another feature of this device is that it may also detect other respiratory diseases such as influenza A and B.”
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    Premisecitation

    If the cell phone of a quarantined individual was turned off or if a person was found to have broken quarantine, an alert would be triggered within 15 minutes.

    “If the cell phone of an individual was turned off or if a person was found to have broken quarantine, an alert would be triggered within 15 min (Lee, 2020).”
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    The combined capacity of testing laboratories across South Korea was ramped up from 10,000 to 20,000 tests daily.

    “Hence, the combined capacity of testing laboratories across South Korea was ramped up from a capacity of 10,000 to 20,000 tests daily.”
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    Premisecitation
    § 3. IoMT pandemic mitigation architecture

    An IoMT architecture with security specification may be defined by augmenting specific medical-centric elements to the Application Layer.

    “An IoMT architecture with security specification may be subsequently defined by augmenting specific medical-centric elements to the Application Layer (Noor and Hassan, 2019).”
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    Premisecitation

    A large number of Ugandan health system workers collect health data using smart gadgets such as PDAs.

    “Furthermore, a large number of Ugandan health system workers collect health data using smart gadgets such as PDAs (Consulting, 2009).”
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    Premisenone given

    The South Korean government established a National-Designed Isolation Unit, a government-funded hospital ward on standby to receive COVID-19 patients, equipped with a negative pressure system and staffed by well-trained professionals.

    “In response to COVID-19, the South Korean government established a National-Designed Isolation Unit (NDIU) - a hospital ward, funded by the government that is on standby to receive patients infected with the disease. The ward is well equipped with a negative pressure system and is staffed by well-trained professionals.”
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    Premisecitation

    South Korea required each new arriving individual to download a self-diagnosis app on their smartphone, and the app was used to conduct digital tracing on the individual.

    “Each new arriving individual was also required to download a self-diagnosis app on his/her smartphone. The app was then used to conduct digital tracing on the individual (Ferretti et al., 2020).”
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    South Korea established residential treatment centers to admit patients with mild symptoms or those asymptomatic to COVID-19 to enable them to recover naturally or with symptomatic treatments alone.

    “Residential treatment centers were also established to admit patients with mild symptoms or those asymptomatic to COVID-19 - to enable them to recover naturally or with symptomatic treatments alone.”
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    Premisecitation
    § 3. IoMT pandemic mitigation architecture

    The RASC standard defines a Reference Architecture with a four-layer architecture: device layer, communication network layer, IoT platform layer, and application layer.

    “The RASC standard defines a Reference Architecture with a four-layer architecture: device layer, communication network layer, IoT platform layer, and application layer.”
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    § 3. IoMT pandemic mitigation architecture

    The standard provides guidance for the interoperability of IoT systems and is meant to unify IoT systems and minimize industry fragmentation.

    “The standard provides guidance for the interoperability of IoT systems and is meant to unify IoT systems and minimize industry fragmentation.”
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    Premisenone given

    The South Korean contact tracing app keeps all movement records of self-quarantined individuals, and once an individual is a confirmed COVID-19 case, all movement information is downloaded by the Health Authority to trace contacts.

    “The app keeps all movement records of the self-quarantined individuals. Once the individual is a confirmed COVID-19 case, all information of his movement would be downloaded by the Health Authority to trace his/her contacts.”
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    Premisenone given

    Germany's health innovation hub issued a list of telemedicine services comprising reimbursement policy, associated costs, and functionalities that is easily accessible by medical staff without significant technical or hardware investment.

    “The health innovation hub issued a list of telemedicine services (comprising reimbursement policy, associated costs, and functionalities) that is easily accessible by medical staff without the need to have significant technical and/or hardware investment.”
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    Interpretationreasoning

    The Bosch rapid diagnostic device enables quick identification and isolation of infected individuals, thereby reducing the spread of the disease.

    “The device enables quick identification and isolation of infected individuals, thereby reducing the spread of the disease.”
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    Premisenone given

    German startup DOCYET launched an application called Corona-Bot that predicts if a person has the symptoms of a typical SARS-CoV-2 infection, and it is frequently updated based on the latest scientific published studies and data provided by scientific institutions.

    “In addition, a German startup, DOCYET, launched an application that predicts if a person has the symptoms of a typical SARS-CoV-2 infection. The app is called Corona-Bot, and is frequently updated based on the latest scientific published studies and data provided by scientific institutions.”
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    Interpretationreasoning

    The AI-powered IoMT system allows for a higher degree of protection for hospital staff and patients while easing the burden of manpower for continuous monitoring.

    “This system allows for a higher degree of protection for hospital staff and patients while easing the burden of valuable manpower for continuous monitoring.”
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    South Korea reduced swab testing to just 10 minutes through a drive-through process.

    “In addition, swab testing was reduced to just 10 min through a drive-through process.”
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    Premisecitation

    The AI-powered IoMT system detects body temperature via infrared scans and determines if a person is wearing a protective face mask using AI technology.

    “The system detects body temperature via infrared scans and also determines if the person is wearing a protective face mask using AI technology.”
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    Interpretationreasoning

    The Temp Pal IoMT system, used by both hospitals and self-quarantined individuals, allows real-time monitoring while reducing direct contact between patients and caregivers, thus mitigating the spread of disease.

    “The IoMT system, used by both hospitals and self-quarantined individuals, allows real-time monitoring while reducing the incidence of direct contact between patients and caregivers, thus mitigating the spread of disease.”
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    Premisenone given

    Germany launched a smartwatch application to detect infections and mitigate the spread of COVID-19.

    “Germany launched a smartwatch application to detect infections and mitigate the spread of COVID-19.”
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    Premisecitation

    Germany enforced the use of passenger locator cards, which allow for rapid action to collect the passenger's contact information.

    “Also, Germany has enforced the use of passenger locator cards (US embassy Consultant, 2020). This card allows for rapid action to collect the passenger's contact information.”
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    Premisecitation

    The Temp Pal system consists of a stamp-sized soft patch weighing 3 g with a battery life of 36 h per charge and transmits continuous temperature data via Bluetooth Low Energy to a mobile app and its cloud dashboard.

    “The Temp Pal system consists of a stamp-sized soft patch, weighing 3 g with a battery life of 36 h per charge, and is able to transmit continuous temperature data via Bluetooth Low Energy to a mobile app and its cloud dashboard.”
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    § 6. Artificial intelligence and big data technology in IoMT

    Data mining in IoMT may play an effective role in building predictive models because there is presently no accurate and specific method to forecast the impact of diseases such as COVID-19.

    “Data mining in IoMT may play an effective role in building predictive models as presently, there is no accurate and specific method to forecast the impact of diseases such as COVID-19 (Cascella et al., 2020).”
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    Interpretationnone given

    The advancement of IoT technology has contributed to the number of applications developed for mitigating SARS, Ebola, and COVID-19.

    “The advancement of IoT technology has contributed to the number of applications developed.”
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    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    A machine learning tool was developed to raise awareness of handwashing in the time of the COVID-19 pandemic.

    “In another study, a machine learning tool was developed to raise awareness of handwashing in the time of COVID-19 pandemic (Pandey et al., 2020).”
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    § 6. Artificial intelligence and big data technology in IoMT

    Issues such as diagnostic models, benchmark standard, updated requirement, and variables are among significant concerns in COVID-19 machine learning research.

    “As several research include the application of a mix of neural networks and conventional machine learning techniques, issues such as diagnostic models, benchmark standard, updated requirement, and variables are among significant concerns (Mohammed et al., 2020).”
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    § 6. Artificial intelligence and big data technology in IoMT

    Health data of 2799 patients with COVID-19 was screened, and a prognostic prediction model was built based on the XGBoost machine learning algorithm and then tested against 29 patients to predict criticality in patients with severe COVID-19 infection.

    “This is where health data of 2799 patients with COVID-19 was screened, and the prognostic prediction model was built based on the XGBoost machine learning algorithm and then tested against 29 patients to predict criticality in patients with severe COVID-19 infection.”
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    • cites Pandey et al., 2020

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    § 6. Artificial intelligence and big data technology in IoMT

    Yan et al. proposed a mathematical simulation method based on machine learning to recognize the most important biomarkers of patient survival.

    “In another study (Yan et al., 2020), a mathematical simulation method based on machine learning was proposed to recognize the most important biomarkers of patient survival.”
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    § 6. Artificial intelligence and big data technology in IoMT

    Machine learning and big data mining have already been used in the past for disease prediction and analysis.

    “ML and big data mining have already been used in the past for disease prediction and analysis (Dimitrov, 2016; Hameed et al., 2017; Vinitha et al., 2018).”
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    § 6. Artificial intelligence and big data technology in IoMT

    Data generated by IoT devices are streaming data that continues to grow in volume and velocity and is considered by a few researchers as pure big data.

    “Data that is generated by IoT devices are streaming data that continues to grow in volume and velocity and is considered by a few researchers as pure big data (Marjani et al., 2017).”
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    § 6. Artificial intelligence and big data technology in IoMT

    Dimitrov (2016) showed a unified classification and association rule mining algorithm to classify the rules underlying the modification of non-pandemic sequences to pandemics in influenza pandemic databases.

    “Work by Dimitrov (2016) showed a unified classification and association rule mining algorithm to classify the rules underlying the modification of non-pandemic sequences to pandemics in influenza pandemic databases.”
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    • cites Dimitrov, 2016

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  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Pandey et al. stated that their model is capable of well predicting the risk of mortality and provides a clinical pathway for the recognition of critical cases from serious cases, thereby reducing the number of deaths.

    “The authors have stated that their model is capable of well predicting the risk of mortality and that it provides a clinical pathway for the recognition of critical cases from serious cases, thereby reducing the number of deaths (Pandey et al., 2020).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Pandey et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Mohammed et al. suggested an insightful machine learning approach to assist health institutions in the application of the COVID-19 diagnostic device.

    “Additionally (Mohammed et al., 2020), suggested an insightful ML approach to assist health institutions in the application of the COVID-19 diagnostic device.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Mohammed et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    A scalable approach can be extended to benchmarking diagnostic models based on radiology laboratory data such as CT images, allowing medical institution administration to choose the most appropriate COVID-19 diagnostic model.

    “A scalable approach that can be extended to benchmarking diagnostic models based on radiology laboratory data such as CT images, which will basically allow the medical institution administration to choose the most appropriate COVID-19 diagnostic model (Mohammed et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Mohammed et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning
    § 6. Artificial intelligence and big data technology in IoMT

    Big health data analytics can be used to predict unseen patterns and hidden information about pandemics.

    “It is clear that big health data analytics can be used to predict unseen patterns and hidden information about pandemics.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given
    § 6. Artificial intelligence and big data technology in IoMT

    Jia et al.'s prediction has shown some degree of accuracy at the time of writing.

    “Based on their prediction and at the time of writing, their prediction has shown to have some degree of accuracy.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Internet communication greatly increases the availability and dissemination of knowledge, and hence reporting has the potential to spread as misinformation or fake news.

    “While improving IoMT, AI, and Big Data, internet communication greatly increases the availability and dissemination of knowledge. Hence the reporting has the potential to spread as misinformation or fake news (Lai et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Lai et al., 2020 source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisenone given
    § 6. Artificial intelligence and big data technology in IoMT

    Since there is no biomarker to distinguish those who will develop severe cases from COVID-19, the need for predicting critical cases arises.

    “Moreover, since there is no biomarker to distinguish those who will develop severe cases from COVID-19, the need for predicting critical cases arises.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Jia et al. predicted that the pandemic will end in China in late April 2020.

    “In addition, they predicted the time that the pandemic will end in China, which is late in April 2020.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jia et al., 2020

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Jia et al. used the three models to fit and study the epidemic trend of COVID-19 in Wuhan, mainland China, and non-Hubei areas, and predicted the total number of infections and deaths that would occur in those areas.

    “The three models were then used to fit and study the epidemic trend of COVID-19 in Wuhan, mainland China and non-Hubei areas. Based on this work, the researchers predicted the total number of infections and deaths that would occur in Wuhan and China mainland and non-Hubei areas.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jia et al., 2020

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    The Hosseini et al. model reduces the number of contaminated COVID-19 countries and thereby slows down the spread of the epidemic.

    “The model reduces the number of contaminated COVID-19 countries and thereby slows down the spread of the epidemic.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Hosseini et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    The development of new pharmaceutical drugs and vaccines has been made possible using various applications of machine learning algorithms.

    “In addition, the development of new pharmaceutical drugs and vaccines has been made possible using various applications of ML algorithms - for example, Google has begun work on pharmaceutical drug development using ML methods and techniques (Pramanik et al., 2017).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Pramanik et al., 2017 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § 6. Artificial intelligence and big data technology in IoMT

    China built robots fitted with AI, driven by 5G and fitted with five high-resolution cameras and infrared thermometers, to reduce the possible risk of COVID-19 exposure to authority when conducting direct body temperature measurements.

    “In order to reduce the possible risk of the COVID-19 in exposure to authority when conducting direct body temperature measurements, China built robots fitted with AI. This technology is driven by 5G and fitted with five high-resolution cameras and infrared thermometers.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationreasoning
    § 6. Artificial intelligence and big data technology in IoMT

    Medical IoT can be considered as another face of the health industry, and in some cases, IoMT with big data analytics can perform better than health organizations in diagnosing, treating, and predicting unknown diseases.

    “Moreover, medical IoT can be considered as another face of the health industry, and in some cases, IoMT with big data analytics can perform better than health organizations in diagnosing, treating, and predicting such unknown diseases.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Another difficulty in COVID-19 machine learning research is the dataset itself, as the data is rising on a regular basis and the number of cases grows increasingly exponentially.

    “Other difficulty in COVID-19 ML research is the dataset itself. As the data is rising on a regular basis and that the number of cases grows increasing exponentially (Arun and Neelakanta Iyer, 2020; Mohammed et al., 2020).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Arun and Neelakanta Iyer, 2020

      Not checked in the free run.

    • cites Mohammed et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    WHO has recognized that China has successfully used big data and AI during the COVID-19 pandemic.

    “WHO has also recognized that China has successfully used big data and AI during the COVID-19 pandemic (Inn, 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Inn, 2020

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning
    § 6. Artificial intelligence and big data technology in IoMT

    Benchmarking and testing diagnostic models for COVID-19 is not a straightforward process; multiple criteria are required to be assessed and some of the criteria are in conflict with each other.

    “Benchmarking and testing diagnostic models for COVID-19 is not a straightforward process. Multiple criteria are required to be assessed, and some of the criteria are in conflict with each other.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    WHO is encouraging the use of passenger locator cards in order to limit the spread of diseases while onboarding aircraft and for the subsequent need for contact tracing.

    “Accordingly, WHO is encouraging the use of this card in order to limit the spread of diseases while onboarding aircraft and for the subsequent need for contact tracing (WHO, 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites WHO, 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given
    § 6. Artificial intelligence and big data technology in IoMT

    Advanced machine learning methods have been utilized in the systematic classification of COVID-19 genomes, CRISPR-based COVID-19 detection assay, and finding drug candidates against COVID-19.

    “Advanced machine learning methods have been utilized in a systematic classification of COVID-19 genomes, CRISPR-based COVID-19 detection assay, and finding drug candidates against COVID-19.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    There is a need for an effective computational complexity theory, such as an optimization algorithm that can control the outbreak and at the same time reduce the transmission of the pandemic.

    “According to (Hosseini et al., 2020), there is a need for an effective computational complexity theory, such as an optimization algorithm that can control the outbreak and, at the same time, reduce the transmission of the pandemic (Hosseini et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hosseini et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    Arun and Neelakanta Iyer provided an overview of the spread of COVID-19 and estimated the severity of the pandemic, the survival rate, and the fatality rate using known machine learning methods and mathematical simulation techniques.

    “(Arun and Neelakanta Iyer, 2020) provides an overview of the spread of COVID19 disease and estimates the severity of the pandemic, the survival rate and the fatality rate using known machine learning methods as well as mathematical simulation techniques such as Rough Set-Support Vector Machine, Bayesian Ridge and Polynomial Regression, SIR Model and Recurrent Neural Network.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Arun and Neelakanta Iyer, 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § 6. Artificial intelligence and big data technology in IoMT

    The Chinese robots are capable of measuring 10 persons' body temperature at the same time within a distance of 5 m.

    “The robots are capable of measuring 10 person's body temperature at the same time within a distance of 5 m.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § 6. Artificial intelligence and big data technology in IoMT

    A flexible full coverage approach helps medical institutions test and compare a range of COVID-19 diagnostic models and settle on a model that fits their needs and reduces time and money.

    “A flexible full coverage approach helps them to test and compare a range of COVID-19 diagnostic models and settle on the selection of a model that fits the needs of a health institution and reduces time and money by using a rigorous framework for the selection of ML models.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given
    § 6. Artificial intelligence and big data technology in IoMT

    The large number of machine learning models has contributed to a big challenge for management teams of medical institutions to choose the most suitable model.

    “In realistic words, the large number of ML learning models have contributed to a big challenge for the management teams of medical institutions to choose the most suitable model they consider to be the key problem of this research.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    To obtain a potential technology by combining big data analytics and the medical internet of things, there is an immediate need to move towards standardizing decentralized data.

    “However, to obtain a potential technology, by combining big data analytics and the medical internet of things, there is an immediate need to move towards standardizing the decentralized data (Allam and Jones, 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Allam and Jones, 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 6. Artificial intelligence and big data technology in IoMT

    A fast number of machine learning models have been developed to replicate the cases of COVID-19.

    “In the meantime, a fast number of ML models have been developed to replicate the cases of COVID-19 (Mohammed et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Mohammed et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning
    § 6. Artificial intelligence and big data technology in IoMT

    Incorrect selection of a diagnosis model for COVID-19 can be expensive for medical organizations, particularly at a time when there is a tremendous need for a more reliable and rapid diagnosis model.

    “Moreover, the incorrect selection of a diagnosis model for COVID-19 can be expensive for medical organizations, particularly at a time when there is a tremendous need for a more reliable and rapid diagnosis model.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given
    § 8. Conclusion

    During the COVID-19 pandemic, a majority of IoMT systems have been used primarily to track and trace infected individuals as digital surveillance, leading to privacy concerns, but this has been regarded as a necessary evil and accepted by many citizens across the globe.

    “During this pandemic period, a majority of IoMT systems have been used primarily to track and trace infected individuals as digital surveillance, and this has led to some concerns regarding privacy issues - yet this has been regarded as a necessary evil and is accepted by many citizens across the globe.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 7. IoMT security

    IoMT suffers from security and privacy issues, and enhancements are needed.

    “stressed that IoMT suffers from security and privacy issues, and enhancements are needed.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Yaacoub et al., 2020

      Not checked in the free run.

    • cites Yaqoob et al., 2019

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Message spoofing leads to message forgery in the IoMT network to distribute wrong information and diminish the security and privacy of IoMT systems.

    “Message spoofing leads to message forgery in the IoMT network to distribute wrong information and diminish the security and privacy of IoMT systems.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 7. IoMT security

    A study by security analysts found more than 68,000 online medical services, with 12,000 belonging to a single healthcare organization, and all these devices were in danger of cyber-attacks.

    “According to (Nanayakkara et al., 2019), a study conducted by security analysts found more than 68,000 online medical services with 12,000 of them belonging to a single healthcare organization. All these devices were in danger of cyber-attacks.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Nanayakkara et al., 2019

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning

    Lightweight security approaches such as lightweight cryptography, lightweight hybrid anomaly detection, and lightweight multi-factor authentication are possible current approaches to enforce stronger authentication in IoMT systems.

    “In view of hardware constraints, lightweight security approaches like lightweight cryptography, lightweight hybrid anomaly detection, and lightweight multi-factor authentication are possible current approaches to enforce stronger authentication in IoMT systems.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given

    A blockchain wallet is software that handles addresses transparently but can reveal the privacy of blockchain systems depending on the software security strength.

    “Blockchain wallet is a software that handles addresses transparently, but it has the capability to reveal the privacy of blockchain systems depending on the software security strength.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 7. IoMT security

    Cyber attacks are not only detrimental to the system but may also pose a danger to human life.

    “Cyber attacks are not only detrimental to the system but may also pose a danger to human life.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Differential privacy protects IoMT node data privacy by adding noise and uses dynamic data perturbation.

    “Differential privacy is a method that protects IoMT nodes data privacy by adding noise; it uses the dynamic data perturbation concept (Liu et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Liu et al., 2019

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Blockchain technology mitigates the issue of distributed devices with multi-services/platform management, data exchange privacy, transaction tampering, untrusted distributed authorization and authentication services, and untraceable transaction of IoMT devices.

    “Blockchain technology mitigates the issue of distributed devices with multi-services/platform management, data exchange privacy, transaction tampering, untrusted distributed authorization and authentication services, and untraceable transaction of IoMT devices (Hassan et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hassan et al., 2019

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given
    § 8. Conclusion

    Other applications of IoMT during the pandemic have been in detecting, monitoring, and testing to minimize the risk of infection or to expedite testing procedures.

    “Other applications of IoMT have been in detecting, monitoring, and testing to minimize the risk of infection or to expedite testing procedures.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given

    Implementing security on IoMT devices is challenging due to constrained-device criteria, distributed architecture, and devices being located at the edge of a network, sometimes remote or within the body and not easily accessible.

    “Implementing security on IoMT devices is a challenging task due to the constrained-device criteria and distributed architecture of IoMT ecosystem. Additionally, these devices are located at the edge of a network and, in some cases, are remote or located within the body, etc. and not easily accessible.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 7. IoMT security

    The US Food & Drug Administration has revised the electronic safety guidelines on medical equipment applications of 2018 with updated advice on securing patient data on such devices and systems.

    “The US Food & Drug Administration (FDA) has recently revised the electronic safety guidelines on medical equipment applications of 2018 with updated advice on securing patient data on such devices and systems (Sun et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Sun et al., 2019 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning
    § 7. IoMT security

    The rapid evolution and adoption of IoMT, especially in pandemic times, may raise further security concerns, making the preservation of privacy of critical and sensitive medical data more challenging.

    “The rapid evolution and adoption of IoMT, especially in pandemic times, may raise further security concerns, thus preserving the privacy of critical and sensitive medical data becomes more challenging.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Encryption is generally used to protect the privacy of wearable devices.

    “Encryption is generally used to protect the privacy of wearable devices. It can only be compromised by mathematically breaking the encryption cipher.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Encryption can only be compromised by mathematically breaking the encryption cipher.
  • May combine two claims.

    Premisecitation
    § 7. IoMT security

    More than 90% of all IoT device transmission is unencrypted, implying that 57% of IoT devices are vulnerable to attacks exposing confidential information.

    “According to a recent study (Palandrani, 2020), more than 90% of all IoT device transmission is unencrypted, implying that 57% of IoT devices are vulnerable to attacks exposing confidential information.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Palandrani, 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    General blockchain privacy preservation approaches are encryption, smart contract, anonymization, and differential privacy.

    “General blockchain privacy preservation approaches are encryption, smart contract, anonymization, and differential privacy (Hassan et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hassan et al., 2019

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 7. IoMT security

    Former US Vice President Dick Cheney removed the wireless capability of his heart implant due to concerns about possible life-threatening cyber attacks through the implanted device.

    “Even the former US Vice President, Dick Cheney, removed the wireless capability of his heart implant due to concerns on possible life-threatening cyber attacks that might be made through the implanted device (Peterson, 2013).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Peterson, 2013

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation
    § 7. IoMT security

    Safety in IoMT applications can adversely influence the physiological, psychological, and biological state of human beings and may result in loss of life and limb.

    “In an IoMT application, safety plays a crucial role as it can adversely influence the physiological, psychological, and biological state of human beings. This might also result in the loss of life and limb.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning
    § 6. Artificial intelligence and big data technology in IoMT

    Information openness among nations regarding COVID-19 mitigation will ensure better information collaboration in the event of such pandemic disasters.

    “Information openness among nations regarding the COVID-19 mitigation will ensure better information collaboration in the event of such pandemic disasters.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Anonymization is a famous method to preserve privacy in blockchain IoMT applications.

    “Anonymization is another famous method to preserve privacy in blockchain IoMT applications.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Known blockchain privacy attacks include wallet privacy leakage, address reuse, Sybil attacks, deanonymization, linking attacks, and message spoofing.

    “Some known blockchain privacy attacks are wallet privacy leakage, address reuse, Sybil attacks, deanonymization, linking attacks, and message spoofing.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Possible interventions for IoMT security include access control via authentication, key protection, trust protection, and blockchain technology.

    “Possible interventions include access control via authentication, key protection, trust protection (Luo et al., 2018), and blockchain technology, among others.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Luo et al., 2018

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Blockchain wallets use temporary disposable addresses for each data transmission to overcome address reuse issues.

    “Blockchain wallets have been introduced to overcome the address reuse issues, whereby temporary disposable addresses are used for each data transmission.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 7. IoMT security

    Generic security solutions cannot be implemented on low-powered IoMT devices because they are typically difficult to enforce, and a lightweight security middleware framework may be more suited.

    “Generic solutions for security problems cannot be implemented as they are typically difficult to enforce on these low powered devices, and hence a lightweight security middleware framework may be more suited (Hassan et al., 2019; Yaacoub et al., 2020).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Hassan et al., 2019

      Not checked in the free run.

    • cites Yaacoub et al., 2020

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning

    Blockchain technology helps improve the privacy of IoMT data because it adopts a naturally decentralized architecture, secured transactions with cryptographic encryption, immutable reliable trust with verifiable transmission backtrack, and easy data identification.

    “Blockchain technology helps to improve the privacy of IoMT data as it adopts a naturally decentralized architecture, secured transactions with cryptographic encryption, immutable reliable trust with verifiable transmission backtrack, and easy data (device) identification as it owns unique identifiers.”
    Quote in the paperNot a substantial claim
102 of 102
  • The paper relies on this without support.

    The Taiwanese government's digital surveillance tactics caused the significantly fewer number of COVID-19 cases compared to neighboring China.

    “which has resulted in a significantly fewer number of cases compared to neighboring China (Taiwanese Public Opinion Foundation, 2020).”
  • The paper relies on this without support.

    South Korea's integration and adoption of multiple strategies, including the 3 T approach, caused the curbing of COVID-19 transmission.

    “South Korea has managed to curb the transmission of the virus by integrating and adopting multiple strategies based on discussions amongst health-care professionals, technical committees, and government agencies.”
  • The paper relies on this without support.

    Cyber threats on medical systems and hospitals are still on the rise.

    “Cyber threats on medical systems and hospitals are still on the rise, with IoT-based healthcare organizations and investors scrambling to identify the most important privacy and to tackle security problems.”
  • The paper relies on this without support.

    The same security constraints in IoT apply to IoMT systems.

    “Generally, the same security constraints in IoT would apply to IoMT systems, but since IoMT devices impact human lives, the concern is more pronounced.”
  • The paper relies on this without support.

    Contact tracing applications can leak information about infected users to third parties.

    “Although contact tracing applications are necessary to the authorities, they can leak information about the infected users to third parties, causing serious privacy concerns.”
  • The paper relies on this without support.

    IoMT users commonly use hospital public Wi-Fi with public addresses.

    “It is normal for IoMT users to use hospital public Wi-Fi with public addresses, hence, blockchain users are exposed to any adversary that can easily get access to these addresses through unsecured hospital public Wi-Fi.”
  • The paper relies on this without support.

    Everything is easily available for each blockchain member.

    “However, since everything is easily available for each blockchain member, there is a possibility of privacy leakage.”
  • The paper relies on this without support.

    Encryption can only be compromised by mathematically breaking the encryption cipher.

    “Encryption is generally used to protect the privacy of wearable devices. It can only be compromised by mathematically breaking the encryption cipher.”
  • The paper relies on this without support.

    Many IoT systems suffer from lack or weak authentication as a result of constraints in hardware, energy consumption, and other computing resources.

    “Many IoT systems suffer from lack or weak authentication as a result of constraints in hardware, energy consumption, and other computing resources.”
9 of 9

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Big-data and machine-learning discussion assigned to the wrong section

    Minor

    The introduction places the discussion of big data and machine learning in Section 7, but Section 7 is titled "IoMT security." The big-data and AI discussion appears in Section 6.

  • Security discussion assigned to the wrong section

    Minor

    The introduction says the security discussion is in Section 6, but Section 6 is titled "Artificial intelligence and big data technology in IoMT"; the security discussion begins in Section 7.

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References 139 · Cited by 237

Research works printed but not linked: 1

  1. Peterson, 2013, Yes, terrorists could have hacked Dick Cheney's heart, Wash. Post, 21

Authors
Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A.
Affiliations
  • University of Technology Malaysia (MY)
  • Universiti Utara Malaysia (MY)
  • Lorestan University (IR)
Venue
Journal of Network and Computer Applications
Publisher
Elsevier BV
Published
2021-01
Volume
174
Pages
102886
ISSN
1084-8045 (ISSN-L)
OpenAlex
W3095446985
Cited by
237
References
139
Citations by year
2026: 9 · 2025: 31 · 2024: 38 · 2023: 63 · 2022: 49 · 2021: 46 · 2020: 1
FWCI
5.77
Type
journal article
Language
en
Open access
Locations
  • Journal of Network and Computer Applications (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Universiti Kebangsaan Malaysia
  • Universiti Utara Malaysia (FRGS/1/2019/ICT03/UKM/02/1, GGPM-2019-030)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
Keywords
Internet of Medical Things, COVID-19 pandemic, IoMT security, artificial intelligence, big data, blockchain, pandemic response

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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