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Cited by in CrossRef
For: Zhu K, Zhang ZX, Zhang M. Application value of machine learning models in predicting intraoperative hypothermia in laparoscopic surgery for polytrauma patients. World J Clin Cases 2024; 12(24): 5513-5522 [PMID: 39188615 DOI: 10.12998/wjcc.v12.i24.5513]
URL: https://www.wjgnet.com/2307-8960/full/v12/i24/5513.htm
Number Citing Articles
1
Wenyu Su, Xiaoli Wang, Huiyu Jia, Wenjing Chang, Shan Jiang, Huaiju Ge, Shihong Dong, Jie Yu, Guifeng Ma, Yingtao Meng. Explainable prediction of hypothermia risk in laparoscopic surgery: a retrospective cross-sectional study using machine learningBMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-03071-9
2
Likui Huang, Yanqing Xu, Shaohua Chen, Juanjuan Zhang, Shuwei Weng. Development and validation of a machine learning-based prediction model for intraoperative hypothermia in Chinese patients undergoing gastrointestinal surgeryPerioperative Medicine 2025; 14(1) doi: 10.1186/s13741-025-00587-9
3
Yan Cheng, Huasong Sheng. Risk factors and predictive modeling of intraoperative hypothermia in laparoscopic surgery patientsBMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-03186-z