Can machine learning models using preoperative and intraoperative data identify risks of postoperative complications?
Machine learning models utilizing perioperative data can provide real-time clinical decision support to anticipate and mitigate postoperative complications.
The ML models for predicting postoperative complications with model-agnostic interpretation offer opportunities for integrating risk predictions for clinical decision support. Such real-time clinical decision support can mitigate patient risks and help in anticipatory management for perioperative contingency planning.
Xue et al. (Tue,) studied this question.