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Systematic evaluation of machine learning models for postoperative surgical site infection prediction
10
Zitationen
16
Autoren
2024
Jahr
Abstract
A multitude of ML models for the prediction of SSIs are available, with large variability in performance. However, most models lacked external validation, performance was reported limitedly, and the risk of bias was high. In studies describing both ML models and regression-based models, one modelling method did not outperform the other.
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