Health diagnosis by using machine learning algorithms

Abstract

In the field of health care, the health monitoring contributes a wide variety of applications such as hospitals, homecare unit, sports training and emergency monitoring systems. In this project, a wireless system is designed for health monitoring. The developed integrated system is used for monitoring of patient’s Pulse rate, Systolic pressure, Diastolic Pressure and Temperature by using machine learning algorithm. By taking Machine learning algorithms such as Logistic regression, SVM, k-NN, Decision Tree and Random Forest, we trained that algorithms for predict the person health condition depending on previous datasheet. Depending on accuracy choose best algorithm and push message alert to mobile app. For wiring the sensors data APIs and Model predicted output Node-Red Tool was used.