Heart Disease Prediction System using Machine Learning Model

Computer-based computation play a tremendous role over the last two decades, as the demand for computers and technology is growing day by day, Data science is a technique to handle the large amount of data which is generated from the computer and other computational-based devices, the data is playing very crucial role nowadays. Artificial intelligence techniques can handle a large amount of data in various filed, like computer-based vision, medical imaging, object detection and tracking, security surveillance, and other fields. The healthcare sector is one of the most promising and necessity-based sectors among the other sectors, therefore machine learning-based models provide all the required computation and solutions for the computer-aided disease diagnosis. In this work we present the comparative machine learning model to predict heart disease on basis of different features and, also improve the accuracy and some other performance parameters to detect the respective diseases. Our experimental result shows better accuracy and other performance parameters value than existing techniques.