The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
A Survey on Internet of Things and Cloud Computing for Healthcare
Open accessAbstract
The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing. Healthcare is one of the application domains in IoT that draws enormous interest from industry, the research community, and the public sector. The development of IoT and cloud computing is improving patient safety, staff satisfaction, and operational efficiency in the medical industry. This survey is conducted to analyze the latest IoT components, applications, and market trends of IoT in healthcare, as well as study current development in IoT and cloud computing-based healthcare applications since 2015. We also consider how promising technologies such as cloud computing, ambient assisted living, big data, and wearables are being applied in the healthcare industry and discover various IoT, e-health regulations and policies worldwide to determine how they assist the sustainable development of IoT and cloud computing in the healthcare industry. Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted. Finally, this paper analyzes previous well-known security models to deal with security risks and provides trends, highlighted opportunities, and challenges for the IoT-based healthcare future development.
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Cites
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
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The Internet of Things for Health Care: A Comprehensive Survey
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“In another research work, Rahmani [34] analyzed the role of fog computing in implementing healthcare monitoring framework, and they proposed a mediator layer to receive raw information from sensor devices and then stored them on the cloud.”
BackgroundInternet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities
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Secure integration of IoT and Cloud Computing
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Fog Computing: Helping the Internet of Things Realize Its Potential
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Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
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Healthcare blockchain system using smart contracts for secure automated remote patient monitoring
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Minh, D., Wang, H. X., Li, Y. F., & Nguyen, T. N. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10088-y · Cited by 983
Sensor-based and vision-based human activity recognition: A comprehensive survey
Minh Dang, L., Min, K., Wang, H., Jalil Piran, M., Hee Lee, C., & Moon, H. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107561 · Cited by 730
Self-citationMedical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
The Internet of Things (IoT) in healthcare: Taking stock and moving forward
Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100721 · Cited by 448
An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier
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Metadata
- Authors
- Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H.
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2019-07-09
- Volume
- 8
- Issue
- 7
- Pages
- 768
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W2956571997
- Cited by
- 640
- References
- 116
- FWCI
- 93.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019). A Survey on Internet of Things and Cloud Computing for Healthcare. Electronics. https://doi.org/10.3390/electronics8070768
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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