Influential Usage of Big Data and Artificial Intelligence in Healthcare

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

Imaging data usage has the ability to improve cancer care by knowing tumor biology and helping in the implementation of precision medicine.

“In daily clinical work, imaging data usage has the ability to improve cancer care by knowing tumor biology and helping in the implementation of precision medicine.”

Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

Adaptation of these applications for self-management in asthma multifactorial persistent diseases needs validation and evaluation in real-life setups along with enhancement of the patient level to personalize predictions concerning the control status of asthma and increasing pitfalls.

“Adaptation of these applications for self-management in asthma multifactorial persistent diseases needs validation and evaluation in real-life setups along with the enhancement of the patient level to personalize predictions concerning the control status of asthma and increasing pitfalls.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

Digital health technologies allow access to optimize clinical care delivery and clinical research to access information about age of healthcare.

“Digital health technologies allow access to optimize clinical care delivery and clinical research to access the information about age of healthcare.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Big data's analytical techniques, tools, and platforms have effect on healthcare institutions for fulfilling novel use cases for possible healthcare applications shows promising research directions.

“Big data's analytical techniques, tools, and platforms are perceived among numerous fields; their effect on healthcare institutions for fulfilling novel use cases for possible healthcare applications shows promising research directions.”

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

Standards, guidelines, and objections established by public health informatics for health equity and health disparities will increase health literacy and access to care.

“Standards, guidelines, and objections are established by public health informatics for health equity and health disparities, which will increase health literacy and access to care [5].”

• cites [5] sourceNot checked yet

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

Four diagnostic models, including lymphocytes, lactate dehydrogenase, C-reactive proteins, and neutrophils, have been developed and validated using the XGBoost algorithm.

“Four diagnostic models, including lymphocytes, lactate dehydrogenase, C-reactive proteins, and neutrophils, have been developed and validated using the XGBoost algorithm [15–17].”

• cites [15] sourceNot checked yet

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• cites [16] sourceNot checked yet

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• cites [17] sourceNot checked yet

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

Cancer care is getting improved by knowing tumor biology and helping in the implementation of precision medicine.

“In clinical work and imaging, cancer care is getting improved by knowing the tumor biology and helping in the implementation of precision medicine.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Computer technology has led to very needy and tremendous enhancement in the health sector known as eHealth.

“Computer technology has led to very needy and tremendous enhancement in the health sector which is commonly known as eHealth (electronic health).”

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

Most machines used in medical and healthcare emit radiation which is harmful and dangerous for humans and buildings.

“One should have sufficient data and knowledge about machines and technology before using it, as most of the machines used in medical and healthcare emit radiation which is quite harmful and dangerous for humans and buildings.”

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

AI is bringing tremendous progress in fields like automation of clinical decisions, disease detectors, imaging analysis in medical diagnosis classifiers, interventional procedures, and has strength to significantly affect practice interventional cardiology.

“AI is a well-known field about what everyone is aware of; it is bringing a tremendous progress in such fields like automation of clinical decisions, disease detectors, imaging analysis in medical diagnosis classifiers, an interventional procedures, and it has the strength to significantly affect the practice interventional cardiology.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Success of these applications is completely dependent on the fundamental architecture and optimization of suitable and proper tools.

“In this circumstance, the success of these applications is completely dependent on the fundamental architecture and optimization of suitable and proper tools as signified by introducing research attempts.”

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

A lot of data in the world is available in different hospitals and healthcare centers, collected from disease-affected humans; the amount of this data is increasing day by day.

“A lot of data in the world is available in different hospitals and healthcare centers, which are collected from disease-affected humans. The amount of this data is increasing day by day [28].”

• cites [28] T. Li, 2016, Performance analysis of co-and cross-tier device-to-device communication underlaying macro-small cell wireless networks, J KSII Transactions on Internet Information SystemsNot checked yet

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

Big data analysis has entered biomedical sciences, especially oncology, cardiovascular disease, allergic diseases, clinical work, and ear diseases.

“Big data analysis is entered in biomedical sciences; the foremost source of big data has been discussed and explained, especially in oncology, cardiovascular disease, allergic diseases, clinical work, ear diseases, and so on.”

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

HMM can be used to manage massive data; inference of reproducible and interpretable dynamic brain network can be made possible in different dataset ranges including various other tasks.

“The modern technique, hidden Markov model (HMM), can be used to manage massive data; the inference of the reproducible and interpretable dynamic brain network can be made possible in different dataset ranges including various other tasks [24].”

• cites [24] sourceNot checked yet

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Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Previous enhancements in ICT have indisputably improved quality of people's lives around the globe.

“The previous enhancements in ICT have indisputably improved the quality of people's lives around the globe.”

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

Cardiovascular imaging has now accurate imaging combined with big data from the eHealth record and pathology to better characterize disease and personalized therapy.

“For example, cardiovascular imaging has now accurate imaging combined with big data from the eHealth record and pathology to better characterize the disease and personalized therapy.”

May combine two claims.

Model results were better for small datasets, whereas for large-scale ones, the concerned model and its application to different patients across the population throughout hospitals were not evaluated.

“The model results were better for small datasets, whereas for large-scale ones, the concerned model and its application to different patients across the population throughout hospitals were not evaluated [31].”

• cites [31] sourceNot checked yet

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

In various other applications of big data based on trajectory data, the regular behavior of private cars is extracted.

“In various other applications of big data based on trajectory data, the regular behavior of private cars is extracted [34–36].”

• cites [34] sourceNot checked yet

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• cites [35] sourceNot checked yet

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• cites [36] sourceNot checked yet

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Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Data mining and machine learning methods are useful for such data series in a challenging task.

“Mining big data probably holds plenty of information and has a possible way and source for giving knowledge; data mining and machine learning methods are useful for such data series in a challenging task.”

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

Exposure of corona virus disease 2019 puts an increasing burden on the healthcare system.

“The exposure of corona virus disease 2019 puts an increasing burden on the healthcare system.”

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

In Alzheimer's disease, clinical development programs have failed to modify new diseases and to establish quality work instrument for treatment of new and advanced diseases.

“In Alzheimer's disease (AD), clinical development programs have failed to modify new diseases and to establish quality work instrument for the treatment of new and advanced diseases.”

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

Big data and AI approaches are commonly presented in mHealth and eHealth applications for self-management and home care of many long-term health conditions.

“Big data and artificial intelligence approaches are commonly presented in mHealth and eHealth applications for self-management and home care of many long-term health conditions.”

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

Big data notation is used for three words: volume, variety, and velocity.

“Fodeh and Zeng [6] have presented the notation of big data which is used for three words: volume, variety, and velocity.”

• cites [6] sourceNot checked yet

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

Infected patients have nonserious signs handled at home, while some develop serious symptoms and need hospitalization.

“While infected patients have nonserious signs, which can be handled at home, some people develop serious symptoms and need to be hospitalized.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Using the Markov model is very good for creating a good opportunity to make future planning in the existence of data in healthcare and clinical centers.

“Using the Markov model is very good for creating a good opportunity to make a future planning in the existence of data in healthcare and clinical centers.”

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

The Markov model is used to extract new approaches for leveraging cancer.

“The Markov model is used to extract new approaches for leveraging cancer.”

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

Usage of digital health technologies in research and clinical care faces issues such as data quality, privacy, and regulatory.

“Despite the usage of such technologies in research and clinical care faces issues such as data quality, privacy, and regulatory, etc.”

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

CSLT plus usual care significantly improved in individually relevant word findings, but did not improve in conversation.

“CSLT plus usual care significantly improved in individually relevant word findings, but they did not improve in conversation.”

• cites [26] sourceNot checked yet

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

Computer modeling and simulation plays a powerful and observational role in AD research.

“The report is based on computer modeling and simulation, which plays a role of being powerful and observational in AD research [21].”

• cites [21] sourceNot checked yet

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

Deep machine learning and AI approaches are commonly presented in many applications using big data.

“Deep machine learning and AI approaches are commonly presented in many applications using big data, which consists of all relevant data about the medical health and diseases which a model can access at the time of execution or diagnosis of diseases.”

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

With data concerned to health records, recurrent neural networks were used for disease risk prediction.

“With data concerned to the health records, recurrent neural networks were used for disease risk prediction.”

May combine two claims.

Epidemiologist is using electronic health records which assist evidence provision for interval guidelines and screening intervals while censoring interval and undiagnosed sickness make a path to issues like substantial analytic risk estimation which cannot be addressed by using Kaplan-Meier methods.

“Epidemiologist is using electronic health records which assist evidence provision for interval guidelines and screening intervals while censoring interval and undiagnosed sickness make a path to issues like substantial analytic risk estimation which cannot be addressed by using Kaplan-Meier methods [32].”

• cites [32] sourceNot checked yet

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

Radiomics helps in monitoring and evaluating tumor features such as temporal and spatial heterogeneity.

“For accession of the tumor and its microenvironment, radiomics helps in monitoring and evaluating the tumor features such as temporal and spatial heterogeneity.”

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

A cube model was proposed to validate and verify actual and confirmed cases and deaths, which was then accepted by the World Health Organization.

“A cube model was proposed to validate and verify the actual and confirmed cases and deaths, which was then accepted by the World Health Organization.”

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

Super computers analyzing big data using advanced deep learning algorithms have allowed improvement of output.

“Super computers are analyzing big data using the algorithms of advanced deep learning machines, which has allowed the improvement of output in the field.”

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

The distinctive nature of interventional cardiology has made it a supreme target for the evolution of AI-based approaches.

“This distinctive nature of interventional cardiology has made it a supreme target for the evolution of artificial intelligence-based approaches which are delineated to enhance real-time clinical decision making, the elegant flow of work in laboratories, and standardized catheter-based procedures using advance robotics.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

Mining big data probably holds plenty of information and has a possible way and source for giving knowledge.

“Mining big data probably holds plenty of information and has a possible way and source for giving knowledge; data mining and machine learning methods are useful for such data series in a challenging task.”

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

SVM, random forests, Bayesian network, and AdaBoost are considered machine learning algorithms used in this review.

“The support vector machine, random forests, Bayesian network, and AdaBoost are considered machine learning algorithms used in this review [37].”

• cites [37] sourceNot checked yet

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

With the rapid increase in healthcare applications, many devices are used to generate varieties of data and many of them are used for better analyzing data and for better decision making.

“With the rapid increase in healthcare applications, many devices are used to generate verities of data and many of them are used for better analyzing data and for better decision making [70].”

• cites [70] sourceNot checked yet

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

When insulin in the body does not respond properly or if the body does not produce it, this results in diabetes.

“When the insulin in the body does not respond properly or if the body does not produce it, this results in diabetes.”

May combine two claims.

Inception-V3 and ResNet101 are learning models chosen for time training and accuracy, which has an average accuracy of 93.67%.

“Inception-V3 and ResNet101 are the learning models which have been chosen for the time training and accuracy, which has an average accuracy of 93.67%.”

• cites [51] sourceNot checked yet

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May combine two claims.

Asthma is inconsistent in clinical associations and has poor replication of genetic associations.

“Asthma is inconsistent in clinical associations and poor replication of genetic associations.”

• cites [65] sourceNot checked yet

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

Asthma is not a single disease but a group of similar diseases with some clinical manifestations.

“Asthma is not a single disease but a group of similar diseases with some clinical manifestations.”

• cites [65] sourceNot checked yet

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

EHRs contain valuable information on the progression of Rangatahi's disease and the tragedy of treatment.

“EHRs contain valuable information on the progression of Rangatahi's disease and the tragedy of treatment.”

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

A subset of VA-PODR data storage is available in GDC and TCIA.

“A subset of this data storage is available in GDC (genomic data commune) and the TCIA (The Cancer Imaging Archive) [67].”

• cites [67] sourceNot checked yet

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

Thakkar et al. discussed valued techniques to excavate in the future and for the diagnosis of diabetes.

“Thakkar et al. [54] has discussed some valued techniques to excavate in the future and for the diagnosis of diabetes.”

• cites [54] sourceNot checked yet

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

Blockchain technology was introduced in 2008 in the Bitcoin cryptocurrency.

“Blockchain technology, such as the vascularization of inherited traits, router transparency, and identification information, was introduced in 2008 in the Bitcoin cryptocurrency.”

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

The incidence of pediatric diseases such as pneumonia and diarrhea are globally challenging.

“The incidence of pediatric and pediatric diseases such as pneumonia and diarrhea are globally challenging.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Incorporating powerful AI algorithms has been instrumental in changing the presentation and common sense of high-intensity radiation oncology.

“Incorporating powerful AI algorithms has been instrumental in changing the presentation and common sense of high-intensity radiation oncology.”

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

Ear disease and mastoid diseases can be easily handled if early detected with appropriate medical care.

“Ear disease and mastoid diseases can be easily handled if early detected with appropriate medical care.”

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

Tandon et al. present current issues and opportunities to use blockchain technology to improve health performance.

“Tandon et al. [55] present current issues and opportunities to use blockchain technology to improve health performance.”

• cites [55] sourceNot checked yet

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

Use of ML techniques has the possibility to improve outcomes of health, reduce costs of healthcare, and demonstrate clinical research.

“The use of ML techniques has the possibility to improve outcomes of health, reduce costs of healthcare, and demonstrate clinical research.”

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

Implementing blockchain technology is part of the healthcare system, where significant value has been added by improving performance, nearness, advancement of technology, protection, security, and privacy of information management systems.

“Implementing the blockchain technology is part of the healthcare system, at verity in the healthcare industry, where the significant value has been added by improving the performance, nearness, advancement of technology, protection, security, and privacy of information management systems.”

• cites [55] sourceNot checked yet

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

In the heart failure study, Esther and colleagues proposed a scheme for extracting short-term sequential samples from CCE data that grading improves phenotype and prediction and is also professional.

“In the heart failure study, Esther and her colleagues proposed a scheme for extracting short-term sequential samples from CCE data that grading improves phenotype and prediction and is also professional.”

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

Pashazadeh and Navimipour provided a detailed and systematic review of the modern mechanisms related to healthcare applications in big data fields.

“Pashazadeh and Navimipour [39] have provided a detailed and systematic review of the modern mechanisms related to healthcare applications in big data fields.”

• cites [39] sourceNot checked yet

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

VA-PODR is a worldwide large repository of well-known data concerned with diagnosed patients of cancer in VA's department.

“VA-PODR (Veterinary Affairs Accurate Oncology Data Collection) is a worldwide large repository of well-known data concerned with diagnosed patients of cancer in VA's (Veterans Affairs) department.”

• cites [67] sourceNot checked yet

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May combine two claims.

Cha et al. presented a machine learning model for automatically diagnosing ear disease with datasets having a total of 10544 images trained using CNN to categorize internal eardrum and external auditory canal features into 6 categories of ear diseases, covering most ear diseases.

“Cha et al. [51] have presented a machine learning model for automatically diagnosing ear disease with the help of datasets having a total of 10544 images which were trained using CNN to categorize internal eardrum and external auditory canal features into 6 categories of ear diseases, which has covered most of the ear diseases..”

• cites [51] sourceNot checked yet

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

Healthcare organizations are facing many challenges like analyzing large-scale data.

“The healthcare organizations are facing many challenges like analyzing large-scale data.”

• cites [70] sourceNot checked yet

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May combine two claims.

Health-related misinformation may be spread intentionally or unintentionally and creates problems in health, potentially detaining or stopping effective care and menacing lives.

“As it is affecting all areas and fields of life, it also creates problems and issues in fields related to health, where it may cause to detain or stop effective care, while in some cases, it is menacing the lives of individuals.”

• cites [71] sourceNot checked yet

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May combine two claims.

The most substantial topics of health-related misinformation include vaccination, Zika virus, and Ebola, while fluoridation of water, nutrition, cancer, and smoking are also highlighted.

“The most substantial and considerable topics include misinformation related to vaccination, Zika virus, and Ebola, even though others, such as fluoridation of water, nutrition, cancer, and smoking are also highlighted.”

• cites [71] sourceNot checked yet

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

Xin-Di et al. composed 252 formulae from the synopsis of prescriptions of the Golden Chamber and a treatise on exogenous febrile disease, looking to identify the basic rules dominating the choosing of herbal mixtures by probability models and big data technology.

“Xin-Di et al. [38] have composed 252 formulae from the synopsis of prescriptions of the Golden Chamber and a treatise on exogenous febrile disease, looking to identify the basic rules dominating the choosing of herbal mixtures by probability models and big data technology.”

• cites [38] sourceNot checked yet

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Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

Development of a system with efficient use of biomedical big data in particular medicine will need noble scientific and technical creation in engineering, infrastructure, financial management, and projects.

“The development of the system with the efficient use of biomedical big data in particular medicine will need noble scientific and technical creation in which engineering, infrastructure, financial management, and projects will be included.”

Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

Biomedical research is getting completely changed with big data.

“Biomedical research is getting completely changed with big data.”

May combine two claims.

This classifier is trained in various conditions and environments and gives better results of diagnosis, so it is more compatible for use in a practical environment.

“This classifier is trained in various conditions and environments and gives better results of diagnosis, so it is more compatible for the use in a practical environment.”

• cites [51] sourceNot checked yet

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

Diabetes is a condition in which glucose levels are lowered into the bloodstream with a slight delay, causing the inability to metabolize it.

“Diabetes is a condition in which glucose levels are lowered into the bloodstream with a slight delay, causing the inability to metabolize it.”

Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

Sometimes, we do not have specialists or may have comparatively low diagnostic precision if a new way of diagnostic policy is needed, in which deep machine learning can play a noble role.

“However, sometimes, we do not have specialists or we may have comparatively low diagnostic precision if a new way of diagnostic policy is needed, in which deep machine learning can play a noble role.”

Classified as probably not a substantial claim.

Extraordinary advances of automatic data collection of large-scale clinical and molecular data have caused prime challenges to data simplification and analysis.

“The extraordinary advances of automatic data collection of large-scale clinical and molecular data have caused prime challenges to data simplification and analysis, summarized for the evolution of new computational techniques.”

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

Big data has made it easy to diagnose disease through virtual and real-time systems.

“Big data has made it easy to diagnose disease through virtual and real-time systems.”

May combine two claims.

Using single-cohort model parameters can reduce price issues and add significant value to medical organizations and patients in rural areas who cannot afford and do not have access to these technologies.

“By using single-cohort model parameters, we can obtuse the price issues which we are facing and we will face in the future [74]; this will add a significant value to the medical organizations as well as patients in rural areas who cannot afford and do not have access to these technologies.”

• cites [74] sourceNot checked yet

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

If any new technology is adopted which is not based on evidenced care, it may risk unintended outcomes like privacy breach and increase in care cost.

“If any of the new technology is adopted which is not based on evidenced care may risk unintended outcomes like privacy breach, increase in care cost, etc [75].”

• cites [75] sourceNot checked yet

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

AI and big data applications in medical health and electronic health have potentially added value to the diagnosis of disease and patient care.

“This paper has summarized the current encouraging applications of AI and big data in medical health and electronic health, which have potentially added value to the diagnosis of disease and patient care.”

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

Big data and AI have transformed the conventional and traditional health system to technological systems in the form of cardiovascular, oncology, ear, asthmatic, allergic, cancer, and or any other diseases.

“It has transformed the conventional and traditional health system to a technological systems in the form of cardiovascular, oncology, ear, asthmatic, allergic, cancer, and or any other diseases.”

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

Respective systems are used to classify this data based on the result and condition of each sentence.

“Respective systems are used to classify this data based on the result and condition of each sentence [72].”

• cites [72] sourceNot checked yet

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