Can a machine-learning risk algorithm accurately assess the risk of major complications and death in patients undergoing surgery?
A novel machine-learning algorithm using preoperative EHR data shows high discriminatory ability for predicting major surgical complications and death.
We constructed an automated predictive analytics framework for machine-learning algorithm with high discriminatory ability for assessing the risk of surgical complications and death using readily available preoperative electronic health records data. The feasibility of this novel algorithm implemented in real time clinical workflow requires further testing.
Bihorac et al. (Wed,) studied this question.
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