1. International Diabetes Federation (IDF): IDF Diabetes Atlas 10th edition (2021). www.diabetesatlas.org
2. Chen, T., Guestrin, C.: XGBoost: A Scalable Tree Boosting System (2016). https://doi.org/10.1145/2939672.2939785
3. Ke, G., et al.: LightGBM: A Highly Efficient Gradient Boosting Decision Tree. https://github.com/Microsoft/LightGBM.
4. Kinnander, M.: Predicting Profitability Of New Customers Using Gradient Boosting Tree Models
5. Prokhorenkova, L., Gusev, G., Vorobev, A., Dorogush, A.V., Gulin, A.: CatBoost: unbiased boosting with categorical features. https://github.com/catboost/catboost