Integration of intraoperative data in interpretable machine learning models to predict postoperative AKI in noncardiac surgery patients
{{output}}
Objectives: We aimed to (1) quantify changes in discrimination when adding intraoperative data to preoperative data and (2) compare tabular machine learning with feature engineering against a time-aware LSTM-based model. ... ...
