A GUI Based Approach to Predict Multiple Diseases using Machine Learning Algorithms.

“Multiple Disease Prediction” is a system based on predictive modeling that will predict the user's disease based on the given symptoms. We have considered four diseases for now, that is Heart disease, Liver disease, Chronic Kidney Disease, and Diabetes. There are existing systems that can predict one disease at a time and perhaps with lower accuracy, which puts a patient’s health in danger. In this project, we aim to design a multiple disease prediction system by applying principles of machine learning, where our application incorporates two ways of predicting diseases for two different categories of users. For single users, the user must enter various parameters of the disease, and the system would display the output whether she/he has the disease or not. The project makes it easier for a multitude of users, such as a hospital management system, to anticipate diseases from the results of laboratory blood test reports. Blood analysis is a crucial disease indicator since it comprises several factors that are symptoms of diseases. This project not only emphasizes prediction precision but also opens the possibility of easily introducing new diseases. [ABSTRACT FROM AUTHOR]