▲ project file // heart-disease
Heart Disease Prediction
Predictive models to identify potential heart disease cases using various classification algorithms.
Heart Disease Prediction uses classification algorithms to identify potential heart disease cases from patient data.
What it does
- Trains multiple classification models on heart disease data
- Compares algorithm performance to find the best predictor
- Aims for early, data-driven identification of at-risk patients
Approach
Several classifiers were evaluated. The project compares their accuracy, precision and recall to find which model best balances detection with false positives.