Responsible Prediction Making of COVID-19 Mortality

Fork of https://github.com/HAIRLAB/Pre_Surv_COVID_19 repository (data and code for Yan, L. et al. 2020).

Added files:

• iema.ipynb
• modelStudio-dashboard.R
• modelStudio-dashboard.html
• data_exploration.png, model_explanation.png, xgboost-explainer.pkl, ale.png, .gitignore
• utils_features_selection.py has two lines changed to work with pandas v1.1.0

The dashboard is available at https://rai-covid.drwhy.ai/

Reference

Yan, L., Zhang, H., Goncalves, J. et al. An interpretable mortality prediction model for COVID-19 patients. Nat Mach Intell 2, 283-288 (2020). https://doi.org/10.1038/s42256-020-0180-7