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Heart Disease
Predictor

ML-powered clinical risk assessment · Random Forest · 83.6% accuracy

83.6%

Accuracy

86.5%

F1 Score

303

Training Samples

Features

Patient Data

Age (years)

Sex

Chest Pain Type

Resting BP (mmHg)

Cholesterol (mg/dl)

Fasting Blood Sugar

Resting ECG

Max Heart Rate

Exercise Angina

ST Depression

ST Slope

Major Vessels (0-3)

Thalassemia

Analysis Result

🫀

Fill in the patient data and
click Analyze Risk to get
a prediction.

Confidence Score —

Prediction —

Risk Level —

Model Random Forest

API Status ● Live

⚠ This tool is for educational purposes only and should not replace professional medical advice.