Multiple Disease Prediction Using a Machine Learning Algorithm

Multiple Disease Prediction Using a Machine Learning Algorithm

Abhishek Gawdae

Guide: Prajakta Chowk

Keraleeya Samajam’s Model College, Dombivli East, Mumbai, Maharashtra, India

Abstract - Artificial intelligence and machine learning play important roles in today's world. From Autonomous cars to the medical field, we can find them everywhere. The medical industry generates a large amount of patient data and numerous diseases that can be processed in many ways with taking help of machine learning. So, taking use of machine learning we have developed a disease prediction system that can analyze more than one disease. Currently, many prediction systems can predict one disease at a time. Those have less accuracy and predictability which affect the patient's health. We have considered two diseases for now which are diabetes and heart disease, and, in the future, more diseases will be added. The user will select the disease he/ she wants to diagnose and enter the parameter of the disease the system will provide a prediction of the disease whether he or she has a disease or not. This project will help to monitor patient health and take necessary precautions to improve their health.

Keywords: Multiple disease prediction, Diabetes, Heart, Random Forest, KNN, Logistic Regression, Decision Tree, XGBoost, Gradient-based, SVM.