dannydave/Heart-Disease-Diagnosis-using-Machine-Learning-and-Data-Mining
Heart Disease Diagnosis using Machine Learning and Data Mining
This project helps medical professionals quickly assess a patient's risk of heart disease. It takes common clinical measurements like age, sex, cholesterol, and blood pressure, and then predicts whether the patient is likely to have heart disease. It's designed for healthcare practitioners, doctors, or clinical researchers who need an easy way to get an early indication of heart disease risk.
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Use this if you are a clinician or researcher seeking a tool to predict heart disease risk from patient clinical data for early detection and decision support.
Not ideal if you need a diagnostic tool for definitive medical decisions or a system that incorporates real-time sensor data.
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Aug 09, 2025
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