Dynamic prediction of hypoxemia risk at different time points based on preoperative and intraoperative features: machine learning applications in outpatients undergoing esophagogastroduodenoscopy
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DOI: 10.1080/07853890.2023.2187878
Abstract: Abstract Background Hypoxemia often occurs in outpatients undergoing anesthesia-assisted esophagogastroduodenoscopy (EGD). However, there is a scarcity in tools to predict the hypoxemia risk. We aimed to solve this problem by developing and validating machine learning… read more here.
Keywords: outpatients undergoing; based preoperative; risk; hypoxemia risk ... See more keywords