Heart Disease Prediction
Enter the patient's data below. All fields are required to predict heart disease risk.
🎂 Age
Patient's age in years. (age)
🚻 Sex
Male
Female
Biological sex of the patient. (sex)
💔 Chest Pain Type
Typical Angina (1)
Atypical Angina (2)
Non-anginal Pain (3)
Asymptomatic (4)
Type of chest pain experienced. (cp)
🩸 Resting Blood Pressure (mm Hg)
Blood pressure at rest (e.g., 120, 140). (trestbps)
🔬 Cholesterol (mg/dl)
Serum cholesterol level. (chol)
🍚 Fasting Blood Sugar > 120 mg/dl?
Yes
No
Indicates if fasting blood sugar is high. (fbs)
📈 Resting EKG Results
Normal (0)
ST-T Abnormality (1)
Hypertrophy (2)
Results from the resting ECG. (restecg)
❤️ Max Heart Rate Achieved
Highest heart rate during exercise. (thalch)
🏃 Exercise Induced Angina?
No
Yes
Does exercise cause chest pain? (exang)
📉 ST Depression (Exercise)
ST depression induced by exercise relative to rest. (oldpeak)
📊 ST Slope (Exercise)
Upsloping (1)
Flat (2)
Downsloping (3)
The slope of the ST segment during peak exercise. (slope)
arteries (0-3) Colored
Number of major blood vessels (0-3) identified. (ca)
☢️ Thallium Stress Test
Normal (3)
Fixed Defect (6)
Reversible Defect (7)
Result of the thalium stress test. (thal)
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Model Info:
This prediction is generated by a
Random Forest Classifier
trained on the classic UCI Cleveland Heart Disease dataset. The model was optimized for high
Recall
to minimize false negatives (i.e., missing a potential case of disease).