Multiple Disease Prediction System Using Machine Learning

Abstract

The field of healthcare is facing increasing challenges due to the rise in the number of diseases and the growing population. Medical practitioners are finding it difficult to diagnose and predict the onset of diseases with the required level of accuracy, especially with a rapidly growing population. To address this need, a dynamic healthcare system is required that can process data in a smart, efficient, and precise manner. Machine learning and artificial intelligence have proven to be powerful tools in this regard. This project focuses on developing a prediction system that can identify multiple diseases simultaneously, for ex, predicting heart disease by using parameters such as Pulse Rate, Cholesterol, Blood Pressure, Heart Rate, etc. The user has to enter various parameters of the disease and the system would display the output whether he/she has the disease or not. This project can help a lot of people as one can monitor the persons’ condition and take the necessary precautions. The proposed model can identify diseases such as Heart disease, Diabetes, Liver disease, hepatitis, jaundice, and Parkinson, and also determine the risk factors associated with them with good accuracy and precision. The proposed system can detect more than one disease at a time.