Determination of Efficient and Secured Healthcare Monitoring Based on IoT Along with Machine Learning

Authors

  • Chethana C. Department of CSE, BMS Institute of Technology and management, India.

DOI:

https://doi.org/10.9734/bpi/nvst/v3/4421F

Keywords:

Artificial intelligence, block chain, internet of things, machine learning, security

Abstract

A Health Monitoring System (HMS) is a modern technology and an alternative to traditional patient and health management. The usage of IoT in healthcare system is playing a vital role. Using the IoT device the various health parameters of the patient can be read and stored in the cloud for various analysis purpose. The data can be analyzed using various statistical methods and machine learning algorithms. Since the data stored are of sensitive information the security of the data to be achieved. In this chapter the role of IoT, artificial intelligence or machine learning algorithms and security issues and its challenges are discussed and the research gap is identified.

Published

2021-08-28

How to Cite

Chethana C. (2021). Determination of Efficient and Secured Healthcare Monitoring Based on IoT Along with Machine Learning. New Visions in Science and Technology Vol. 3, 144–149. https://doi.org/10.9734/bpi/nvst/v3/4421F