Internet of Things and Machine learning Implementation in the Healthcare Sector

Authors

  • Dina Darwish

Keywords:

internet of things, machine learning, monitoring health, applications, usage percentages

Abstract

Modern health monitoring is Crucial. Today's busy lifestyles lead to Early health issues. Many issues occur from daily routines. Despite their ignorance of the risks, people enjoy many hobbies. Thus, identifying daily activities that affect health and predicting future diseases is crucial. However, electronic health data can forecast diseases like diabetes, TB, and others. Machine learning is used to predict a person's overall health. A complete health examination includes sleep quality, food, physical activity, and other elements. Also, the internet of things (IoT) is crucial in monitoring health and giving information when abnormalities occur. This paper gives focus on the importance of monitoring the health, and the role of internet of things and machine learning in accomplishing this. And, providing the usage percentages of IoT applications in the healthcare sector from different countries.

References

Internet of Things and Machine learning Implementation in the Healthcare Sector

Published

2023-08-26

How to Cite

Internet of Things and Machine learning Implementation in the Healthcare Sector. (2023). London Journal of Research In Computer Science and Technology, 23(3), 1-12. https://journalspress.uk/index.php/LJRCST/article/view/195