Does a machine learning algorithm using electronic health record data match surgeons' predictive accuracy for postoperative complications?
A machine learning algorithm using electronic health record data can predict postoperative complications in real-time with an accuracy that matches clinical surgeons.
In this study, automated real-time predictions of postoperative complications with mobile device outputs had good performance in clinical settings with prospective validation, matching surgeons' predictive accuracy.
Ren et al. (Mon,) studied this question.
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