Survival study on deep learning techniques for IoT enabled smart healthcare system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s12553-023-00736-4.pdf
Reference85 articles.
1. Amin M, et al. “A deep learning system for health care IoT and smartphone malware detection. ”Neural Comput Appl. 2020;140:1–12.
2. Rajan Jeyaraj, Pandia, Nadar ERajanS. “RETRACTED: atrial fibrillation classification using deep learning algorithm in internet of things–based smart healthcare system. ”Health Inf J. 2020;26(3):1827–40.
3. Sharma S et al. “DeTrAs: Deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients,”Neural Computing and Applications[Online], 2020. Available:https://link.springer.com/article/10.1007/s00521-020-05327-200521-020-05327-2
4. Ahmed I, Awais Ahmad, and, Jeon G. “An iot based deep learning framework for early assessment of covid-19,”IEEE Internet of Things Journal [Online], 2020. Available:https://ieeexplore.ieee.org/abstract/document/9241020
5. Sodhro A, Hassan S, Pirbhulal. Convergence of IoT and product lifecycle management in medical health care. ”Future generation computer systems. 2018;86:380–91.
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