Survey Paper On Automated Health Peril Predictor Using Naive Bayes Classifier and Max30102

Abstract

This paper describes different methods used for tracking the health condition of the user. Although there are a lot of challenges in persistent connections and providing a cheaper way of implementing it. From time to time, several techniques are discovered which are more improved and better than previous versions. In this survey paper, we describe and compare many techniques of identification from various researches.