A random forest algorithm-based prediction model for moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.

Background: Postoperative pain is one of the most common complications after surgery. In order to detect early and intervene in time for moderate to severe postoperative pain, it is necessary to identify risk factors and construct clinical prediction models. This study aimed to identify significant...

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Bibliographic Details

Published in:	BMC Anesthesiology Vol. 23; no. 1; pp. 1 - 14
Main Authors:	Shi, Gaoxiang, Liu, Geliang, Gao, Qichao, Zhang, Shengxiao, Wang, Qi, Wu, Li, He, Peifeng, Yu, Qi
Format:	research tables/charts Journal Article
Published:	BioMed Central 11/6/2023
Online Access:	View this record in EBSCOhost