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Prediction of Heart attack system is a machine learning model that takes csv dataset as input and provides a web based user interface where user enters various parameters The system uses 15 medical parameters such as age, sex, blood pressure, cholesterol, and obesity etc for prediction. The HDPS predicts the likelihood of patients getting heart disease.Once the parameters are given the system Output whether a person will be suffering from heartattack or not.In this Heart Disease Prediction System (HDPS) is developed using several decision based algorithms for predicting the risk level of heart disease.It enables significant knowledge. The obtained results have illustrated that the designed diagnostic system can effectively predict the risk level of heart diseases.
*Installation Guide/Demo
*Source Code
*Installation Support
* Base Papers
*reports
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