Health Diagnosis Cross-Platform Application Development

Abstract

In our society today, people all around the globe are having major health problems like Diabetes and Heart Problems or both, and there is a great need for risk prediction these problems people are having. Most of the time we are hacked with hassles of traveling and time from reaching the health practitioner. But our mobile phone can now help us bridge the gap where we can personally diagnose ourselves based on the risk of the above-mentioned problems. Today, mobile devices have changed how we conceive software. There is a great range of development alternatives. In this paper, we propose a health diagnostic system to monitor and predict the health parameters of a patient using machine learning algorithms and PhoneGap to implement a cross-platform mobile application. Supervised machine learning is the construction of algorithms that finds the mapping function between the input parameters and output values. Data Categorization from prior information is the aim of supervised machine learning classification algorithms. Classification is administered very frequently in data science problems. This paper will give us a clear understanding of PhoneGap, cross-platform mobile application, Prediction Analysis and also how this health diagnosis mobile application works in this context.