Abstract: World Journal of Sensors Network Research

Abstract:
This paper introduces an innovative prediction system for predicting risk of having diseases like diabetes and hyper tension based on users’ symptoms, designed to support individuals from all age groups with concern of their health and wellbeing. In the modern world technology has already altered the path of medical science. With this diagnostic tool, researchers hope to provide a trusty and simple approach for users to identify the risk of having cholesterol and hypertension using a mobile application. This diagnostic model has used ensemble model concept to maximize the accuracy of prediction. In order to train predictive models, clinical datasets were gathered, refined, and classified. Based on users’ symptoms, the system will predict users’ risk of diagnosed with diabetes and hypertension and direct them to prevent or control the situation further via the mobile application.