Skip to content

ewilliams7905/Health-Monitoring-and-Analysis-using-Python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

About

This project leverages unsupervised machine learning to uncover hidden patterns in patient health data. By clustering patients based on metrics such as heart rate, blood pressure, temperature, and oxygen saturation, it moves beyond static threshold based diagnostics to provide more dynamic, personalized insights into patient well being.

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors