Internet of Things and Machine learning Implementation in the Healthcare Sector

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.

The authors declare no conflict of interest.

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The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

This work did not receive any external funding.