The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges
Abstract
Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health care is a particularly important one. Networked sensors, either worn on the body or embedded in our living environments, make possible the gathering of rich information indicative of our physical and mental health. Captured on a continual basis, aggregated, and effectively mined, such information can bring about a positive transformative change in the health care landscape. In particular, the availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post facto diagnose-and-treat reactive paradigm, to a proactive framework for prognosis of diseases at an incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b) enable personalization of treatment and management options targeted particularly to the specific circumstances and needs of the individual, and (c) help reduce the cost of health care while simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IoT in realizing this vision of the future of health care.
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Cites
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BackgroundCloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture
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Cited by
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring
Hossain, M. S., & Muhammad, G. (2016) · Computer Networks · doi:10.1016/j.comnet.2016.01.009 · Cited by 773
Towards an Optimized BlockChain for IoT
Dorri, A., Kanhere, S. S., & Jurdak, R. (2017) · Proceedings of the Second International Conference on Internet-of-Things Design and Implementation · doi:10.1145/3054977.3055003 · Cited by 752
Bubbles of Trust: A decentralized blockchain-based authentication system for IoT
Hammi, M. T., Hammi, B., Bellot, P., & Serhrouchni, A. (2018) · Computers & Security · doi:10.1016/j.cose.2018.06.004 · Cited by 691
Verma, S., Kawamoto, Y., Fadlullah, Z. M., Nishiyama, H., & Kato, N. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2694469 · Cited by 422
Metadata
- Authors
- Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B., & Andreescu, S.
- Venue
- 2015 IEEE International Conference on Services Computing
- Publisher
- IEEE
- Published
- 2015-06
- Pages
- 285-292
- OpenAlex
- W1530181845
- Cited by
- 787
- References
- 6
- FWCI
- 64.90
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B., & Andreescu, S. (2015). Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges. 2015 IEEE International Conference on Services Computing. https://doi.org/10.1109/scc.2015.47
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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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