Effective Heart Disease Prediction using Machine Learning

Heart Disease is a major cause of death in recent times. Diagnosis of heart disease is a difficult task in the real world. Prediction of heart disease is a major challenge faced by doctors these days especially when it comes to accuracy. So, there is a need for better technology to overcome this problem and that is where machine learning techniques play a very important role. Algorithms play a significant role in prediction and data exploration. The healthcare industry collects a huge amount of data which is very useful in machine learning. With a growing population, the doctors and experts are not available in proper proportion, and also since heart disease symptoms are not significant and thus are often neglected. The main aim of this research is predicting the heart disease risk level of the patients using machine learning. Comparison of various Machine learning algorithms, choosing the suitable algorithm and creating a centralized system for user and admin login and view data. Results with the risk level and suggestions for nearest doctors is provided. This project can be extended for the prediction of various other diseases.