Prediction of hemorrhage rate after tonsil surgery in children based on random forest model

Hemorrhage after tonsil surgery in children is a serious and potentially life-threatening complication. The purpose of this study was to establish a risk warning model for hemorrhage after tonsil surgery in children through a national multi-center retrospective study, providing a basis for hierarchi...

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Published inLin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery Vol. 38; no. 10; p. 883
Main Authors Xu, Hongming, Qiu, Shuyao, Wang, Jinxia, Han, Fugen, Xia, Zhongfang, Ni, Liyan, Ma, Jing, Chen, Chunguang, Gao, Xingqiang, Zhang, Junmei, Liu, Haixia, Liu, Haibing, Yao, Hongbing, Zhuang, Qianger, Song, Wei, Zhao, Sijun, Zhang, Mingjun, Liu, Dabo, Li, Xiaoyan
Format Journal Article
LanguageChinese
Published China 01.10.2024
Subjects
Algorithms
Child
Child, Preschool
Female
Humans
Male
Palatine Tonsil - surgery
Postoperative Hemorrhage - epidemiology
Postoperative Hemorrhage - etiology
Random Forest
Retrospective Studies
Risk Factors
Tonsillectomy - adverse effects
Tonsillectomy - methods
multi center
tonsillectomy
forecast
postoperative bleeding
random forest
children
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Summary:Hemorrhage after tonsil surgery in children is a serious and potentially life-threatening complication. The purpose of this study was to establish a risk warning model for hemorrhage after tonsil surgery in children through a national multi-center retrospective study, providing a basis for hierarchical management after tonsil surgery in children. Stratified sampling was performed on 8 854 children who underwent tonsillectomy under general anesthesia from 15 research centers in different provinces from January 15, 2022 to May 15, 2023. The sample size of this study was 2 724 cases, including 1 096 males and 1 628 females. Children were divided into bleeding and non-bleeding groups according to whether or not they had bleeding after surgery. The random forest algorithm was used to build a risk warning model. By continuously exploring the optimized model, the accuracy of predicting the postoperative bleeding rate of tonsils in children was improved, and the prediction effectiveness of the model was verified by t
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ISSN:2096-7993
DOI:10.13201/j.issn.2096-7993.2024.10.001