Integrating IoT and Machine Learning for Real-Time Patient Health Monitoring with Sensor Networks-Reference-Cited by-同舟云学术

Integrating IoT and Machine Learning for Real-Time Patient Health Monitoring with Sensor Networks

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Vimal S P¹,Vadivel M.²,Baskar V Vijaya³,Sivakumar V G²,Srinivasan C.⁴

Affiliation:

1. Sri Ramakrishna Engineering College,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India

2. Vidya Jyothi Institute of Technology,Department of Electronics and Communication Engineering,Hyderabad,Telangana,India

3. School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology,Chennai,Tamil Nadu,India

4. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10275890.pdf?arnumber=10275890

Reference15 articles.

1. Machine Learning in Cardiac Health Monitoring and Decision Support

2. A real time IoT based patient health monitoring system using machine learning algorithms;vineetha;Eur J Mol Clin Med,2020

3. Intelligent healthcare data segregation using fog computing with internet of things and machine learning

4. Assessment of Machine Learning Techniques in IoT-Based Architecture for the Monitoring and Prediction of COVID-19

5. Healthcare solution based on machine learning applications in IOT and edge computing;kumar;International Journal of Pure and Applied Mathematics,2018

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