- Data Loading.py
- Loading MAGGIC data from original csv file
- Labeling for each patient
- Divide them into train/test sets
- Prediction_Result.py
- Using multiple machine learning methods to compute the prediction accuracy
- With AUROC, AUPRC, and C-index as metrics
- RMSE_Compute.py
- Report RMSE and Kappa of SLIM model
- For each risk strata and entire strata
- Final_SettingA.py
- Implement SLIM Model
- Calibration_Plot.py
- Visualize Calibration of ML Models
- Coefficient_Heatmap.py
- Compute coefficient of each risk strate to visualize Heatmaps