AI-Driven Early Cardiovascular Risk Detection
A machine learning system that analyzes 70,000 patient records to predict heart disease risk factors with 71.60% accuracy using Random Forest.
A machine learning system that analyzes 70,000 patient records to predict heart disease risk factors with 71.60% accuracy using Random Forest.
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