Heart-Disease-Prediction and Heart-Disease-Prediction-System
About Heart-Disease-Prediction
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
This project helps medical professionals or health data analysts quickly assess the likelihood of heart disease in patients. By inputting patient health metrics, it outputs a prediction of whether heart disease is present. This is designed for healthcare practitioners who need a rapid, data-driven initial screening tool.
About Heart-Disease-Prediction-System
Kumar-laxmi/Heart-Disease-Prediction-System
Heart Disease Prediction System using Machine Learning
This system helps individuals assess their likelihood of having heart disease based on their medical profile. You input personal health parameters like age, sex, blood pressure, and cholesterol, and the system outputs a prediction regarding heart disease risk. This tool is designed for patients and medical practitioners who want an early indication of heart health status to facilitate timely intervention.
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