Conventional regression analysis and machine learning in prediction of anastomotic leakage and pulmonary complications after esophagogastric cancer surgery.
Robert T van KootenRenu R BahadoerBouwdewijn Ter Buurkes de VriesMichel W J M WoutersRob A E M TollenaarHenk H HartgrinkHein PutterJohan L DikkenPublished in: Journal of surgical oncology (2022)
Machine learning models can predict postoperative complications in upper gastrointestinal cancer surgery, but they do not outperform the current gold standard, linear regression.