Dataset Overview
Transparent and rigorous data sourcing for reliable AI predictions.
💾The Dataset
We utilized the widely respected Cardiovascular Disease Dataset from Kaggle. It contains over 70,000 patient records with 11 distinct features, providing a robust foundation for training machine learning models.
70,000+
Anonymized Clinical Records
Target Variable
Objective: Predict presence of heart disease (Binary Classification).0 = No Disease, 1 = Disease present.
- Demographics: Age, Gender, Height, Weight.
- Exam Results: Blood Pressure (Systolic & Diastolic), Cholesterol, Glucose.
- Lifestyles: Smoking, Alcohol, Physical Activity.