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Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data
14
Zitationen
7
Autoren
2023
Jahr
Abstract
Parsimonious preoperative models for predicting postoperative infection risk using EHR data were developed and showed comparable performance to existing American College of Surgeons National Surgical Quality Improvement Program risk models that use manual chart review. These models can be used to estimate risk-adjusted postoperative infection rates applied to large volumes of EHR data in a timely manner.
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