Heart Disease Prediction System
Abstract
Now days, heart disease is the most common disease.But, unfortunately the treatment of heart disease is somewhat costly that is not affordable by common man.Hence, we can reduce this problem in some amount just by predicting heart disease before it becomes dangerous using Heart Disease Prediction System Using Machine Learning and Data mining.If we can find out heart disease problem in early stages then it becomes very helpful for treatment.Machine Learning and Data Mining techniques are used for the construction of Heart Disease Prediction System.In healthcare biomedical field, there is large use of heath care data in the form of text, images, etc. but, that data is hardly visited and is not mined.So, we can avoid this problem by introducing Heart Disease Prediction System.This system will help us reduce the costs and to enhance the quality treatment of heart patients.This system can able to identify complex problems and can able to take intelligent medical decisions.The system can predict likelihood of patients of getting heart problems by their profiles such as blood pressure, age, sex, cholesterol and blood sugar.Also, the performance will be compared by calculation of confusion matrix.This can help to calculate accuracy, precision, and recall.The overall system provides high performance and better accuracy.
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Data Mining and Machine Learning Applications
ECG Monitoring and Analysis
Publication details
- Journal / source
- International Research Journal of Modernization in Engineering Technology and Science
- Publication date
- 19 January 2026