Figure 1.

Overview of the methodology followed to develop the machine learning models. The outcomes were defined, and the initial datasets split 50/50 or 80/20. Following that, a preoperative model and a postoperative model were developed, the lower part shows some representative decision trees in this study. Finally, the key findings including most important predictors and change of the model performance per phase of care were assessed.