Machine Learning with IoMT: Opportunities and Research Challenges-Reference-Cited by-同舟云学术

Machine Learning with IoMT: Opportunities and Research Challenges

Published:2021 Issue: Volume: Page:235-252
ISSN:2199-1073
Container-title:Internet of Things
language:
Short-container-title:

Author:

Bharathi M.,Amsaveni A.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63937-2_13

Reference35 articles.

1. Joshi, R. R., & Mulay, P. (2020). Closeness Factor Based Clustering Algorithm (CFBA) and allied implementations—Proposed IoMT perspective. In A handbook of internet of things in biomedical and cyber physical system (pp. 191–215). Cham: Springer.

2. What is the Internet of Medical Things (IoMT)? – Mobius MD, www.mobius.md

3. Dey, N., Ashour, A. S., & Bhatt, C. (2017). Internet of things driven connected healthcare. In Internet of things and big data technologies for next generation healthcare (pp. 3–12). Cham: Springer.

4. Adi, E., Anwar, A., Baig, Z., & Zeadally, S. (2020). Machine learning and data analytics for the IoT. Neural Computing and Applications, 1–29.

5. Joyia, G. J., Liaqat, R. M., Farooq, A., & Rehman, S. (2017). Internet of Medical Things (IOMT): Applications, benefits and future challenges in healthcare domain. Journal of Communications, 12(4), 240–247.

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