Heart health assessment

Understand your heart health profile.

Enter the clinical information below to receive an educational risk assessment powered by the existing Random Forest model.

Private session Instant analysis

13clinical inputs

Random Forestmachine learning model

UCI Heart Diseasereference dataset

For education and research only — not a medical diagnosis.

How it works

A clearer way to review your inputs.

Share your details

Use recent clinical measurements where available.

Run the assessment

The saved model evaluates all 13 features together.

Review the result

See probability, confidence, and contributing factors.

Health education

Context matters.

Results are one data point. A qualified healthcare professional can interpret them alongside symptoms, history, and examination.

Explore the dataset

New assessment

Clinical information

Complete each section to generate your risk assessment.

* Required

Assessment completion 0/13

Personal information

Basic demographic details

Age *

Patient age in years (20–100)

Gender *

Select the patient’s recorded gender

Symptoms & clinical information

Reported symptoms and exercise response

Chest pain type *

Choose the closest recorded symptom category

Exercise-induced angina *

Chest pain brought on by exercise

Vital signs

Recent measurements and lab values

Resting blood pressure *

mmHg

Normal resting range is often below 120

Cholesterol *

mg/dL

Total serum cholesterol

Maximum heart rate *

bpm

Maximum heart rate achieved

Diagnostic information

Additional clinical test results

Fasting blood sugar *

Resting ECG results *

ST depression *

Exercise-induced ST depression

ST slope *

Number of major vessels *

Colored by fluoroscopy

Thalassemia *

Your inputs are processed by the existing model and saved to your session history.