An intelligent framework for health estimation with Naïve Bayes approach

Abstract

The medical examination is necessary to step to diagnose the health of the patients. The aim of the data mining here is to classify the patients and predict the health status of the patient. In this paper, we presented a semi-managed learning framework which forecasts the health behavior of the patient. There were various steps such as registration, data extraction, graph generation, risk prediction and prescription generation with the utilization of Naïve Bayes method. With this framework, individuals will acquire the personal precautionary measures before managing a disease.