Development of a Clinical Prediction Model for Anastomotic Leakage in Colorectal Surgery

Can a predictive model that integrates multiple base models’ predictions and patient-specific features accurately predict the incidence of anastomotic leakage?In this retrospective prognostic study involving 9120 patients, the predictive performance of a meta-model achieved an overall F1 score of 87% and 70% using the cross-validation and external validation test sets, respectively.These results suggest that a predictive model integrating multisource information can predict anastomotic leakage more accurately than individual base models, demonstrating the potential of advanced machine learning techniques to enhance clinical decision-making.

Corresponding Author: Anas Taha, Department of Biomedical Engineering, Faculty of Medicine, University of Basel, Hegenheimermattweg 167C, 4123 Allschwil, Switzerland (anas.taha@unibas.ch).

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