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Predict

Estimate heart-disease risk from clinical measurements.

Patient information

Enter raw clinical measurements. Optional measurements may be left blank — the model imputes missing values server-side.

Patient details

Basic demographic information.

years
Sex

Medical history

Symptoms and presentation.

Fasting blood sugar > 120 mg/dL
Exercise-induced angina

Clinical & diagnostic measurements

From blood tests, ECG and exercise stress testing.

mm Hg
mg/dL
bpm
mm

Raw values are sent exactly as entered. All imputation, encoding and scaling happens in the backend pipeline.