ADVANCED HEALTH CARE MONITORING SYSTEM USING NAÏVE BAYES CLASSIFIER

Abstract

At remote locations like in rural areas, mountain areas, it is biggest challenge to provide urgent health care and hospital service for needed one. Even it is well known that any patient after an operation or long medical treatment, usually go through the recovery or rehabilitation process where patient require to follow a strict routine prescribed by doctor or health care agencies. It needs nurse, doctor or healthcare to monitor these patients closely and it is really tedious for the patients who live at said remote places. In existing system, the solution for this remote patient health monitoring is available based on Wireless Sensor Network technology with use of multiple network hardware components. In existing system, to avoid use of individual health related parameters and requirement of extensive processing of these details to monitor patient health, new approach is explored here. In this paper, the proposed system is represented using novel approach for monitoring patient health at remote location which makes use of Naïve Bayes Classifier algorithm at central processing center to integrate all individual patient health related parameters. The performance of proposed system will be definitely effective in emergency condition based on results produced by Naïve Bayes Classifier approach.