Rapid Screening for Cardiovascular Risk

A high-sensitivity triage tool using 7 objective 'hard indicators' to predict heart disease. We achieved 73% recall, turning simple health data into immediate, life-saving clinical insights.

Problem: Traditional cardiovascular risk assessments often rely on subjective patient surveys or time-consuming laboratory tests that can delay life-saving triage.

Approach: We identify a set of seven objective, verifiable data points that can be gathered in under 60 seconds to provide immediate clinical triage.

Tradeoffs: Unlike standard models that aim for raw accuracy, our tool is optimized for clinical triage, ensuring that we catch as many at-risk individuals as possible

Tech: Python, scikit-learn, statsmodels, Matplotlib, Seaborn