Figure 6.

The overview of the AI methods and models applied for outcome prediction or interpretability. The bar chart shows how frequent each AI method has been, with the X axis quantifying the number of studies. Note that some studies applied multiple algorithms or methods (LR, logistic regression; SVM, support vector machine; DT, decision trees; RF, random forest; ANN, artificial neural networks; CatBoos, categorical boosting; XGBoost, extreme gradient boosting; RNN, recurrent neural networks; LSTM, long short-term memory; RL, reinforcement learning; NLP, natural language processing; RFE, recursive feature elimination; SHAP, SHapley Additive exPlanations).