An Approach to Heart Disease Prediction with Machine Learning Using Chatbot

Abstract

Cardiovascular diseases are one of the leading causes of mortality and morbidity worldwide which is a major concern to be dealt with, but it is difficult to identify cardiovascular diseases in the earlier stages because of several contributory factors which posses risk such as high blood pressure, high cholesterol, diabetes, and many other factors. Prediction of cardiovascular diseases is considered as one of the important aspects of healthcare analysis given a large amount of raw data available, waiting to be converted into valuable information. On the other hand, the majority of internet users are adopting one or more messenger platforms which enable us to deploy AI-based conversational bots that can be developed to cater to individual users to provide user satisfaction, high level of accessibility and flexibility. The aim of this paper is to demonstrate the use of Machine Learning models using Google Cloud Platform to assist users in the prediction of cardiovascular diseases using a chatbot with the help of Flutter framework on Android and other messenger platforms such as Telegram and Facebook.