The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
A review of IoT applications in healthcare
Open accessAbstract
Integrating Internet of Things (IoT) technologies in the healthcare industry represents a transformative shift with tangible benefits. This paper provides a detailed examination of IoT adoption in healthcare, focusing on specific sensor types and communication methods. It underscores successful real-world applications, including remote patient monitoring, individualized treatment strategies, and streamlined healthcare delivery. Furthermore, it delves into the intricate challenges to realizing the full potential of IoT in healthcare. This includes addressing data security concerns, ensuring seamless interoperability, and optimizing the use of IoT-generated data. The paper seeks to inspire practitioners and researchers by highlighting the practical implications of IoT in healthcare, emphasizing the ways IoT can enhance patient care, resource allocation, and overall healthcare efficiency.
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Cites
2 retracted
[Retracted] Federated Deep Learning Approaches for the Privacy and Security of IoT Systems
Alazzam, M. B., Alassery, F., & Almulihi, A. H. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/1522179 · Cited by 38
Retracted- Retracted
Xu, W., Yang, Z., Ng, D. W. K., Levorato, M., Eldar, Y. C., & Debbah, M. (2023) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2023.3239189 · Cited by 660
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
Hua, H., Li, Y., Wang, T., Dong, N., Li, W., & Cao, J. (2023) · ACM Computing Surveys · doi:10.1145/3555802 · Cited by 563
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, T., Tao, X., Higgins, N., Li, L., Gururajan, R., Zhou, X., & Acharya, U. R. (2023) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1485 · Cited by 515
The impact of 5G on the evolution of intelligent automation and industry digitization
Attaran, M. (2023) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02521-x · Cited by 492
Virtual reality in language learning: a systematic review and implications for research and practice
Parmaxi, A. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2020.1765392 · Cited by 468
Raja Santhi, A., & Muthuswamy, P. (2023) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-023-01217-8 · Cited by 353
5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds
Chen, M., Yang, J., Zhou, J., Hao, Y., Zhang, J., & Youn, C.-H. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700788 · Cited by 266
Bourechak, A., Zedadra, O., Kouahla, M. N., Guerrieri, A., Seridi, H., & Fortino, G. (2023) · Sensors · doi:10.3390/s23031639 · Cited by 258
Cited by
Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration
Taherdoost, H. (2024) · Computers, Materials & Continua · doi:10.32604/cmc.2024.054378 · Cited by 47
Metadata
- Authors
- Li, C., Wang, J., Wang, S., & Zhang, Y.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 565
- Pages
- 127017
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W4388538087
- Cited by
- 369
- References
- 91
- FWCI
- 86.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
