Heart Disease Predictor

Hackathon Project - Make a web app utilizing an AI model to predict heart disease based on 13 parameters:

1) Age 2) Gender 3) Chest Pain Type (0 - typical, 1 - typical angina, 2 - non-anginal pain, 3 - asymptomatic) 4) Resting Blood Pressure (0 - 250) 5) Cholesterol (in mg/dl) 6) Blood Sugar Levels on fasting >120 mg/dl 7) Resting Electrocardiographic Results (0, 1, or 2) 8) Max Heart Rate (60 - 250) 9) Exercise Induced Angina 10) ST depression induced by exercise relative to rest (-5.0 - 10) 11) The slope of the peak exercise ST segment (0, 1, or 2) 12) Number of major vessels (0-3) colored by fluoroscopy 13) Thalassemia - (0 - Normal, 1 - Fixed Defect, 2 - Reversible Defect)

The AI algorithim is the k-Nearest Neighbors (KNN) Model

Built With

• css
• html
• javascript
• python