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Selection bias, overfitting, and generalisability in predicting postoperative complications: insights from Fang et al.'s work.

作者信息

Du Chengfei

机构信息

Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.

出版信息

J Robot Surg. 2025 Aug 21;19(1):504. doi: 10.1007/s11701-025-02682-x.

DOI:10.1007/s11701-025-02682-x
PMID:40841847
Abstract
摘要

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本文引用的文献

1
Construction of a risk factor prediction model for postoperative complications in elderly patients with colorectal cancer using machine learning.利用机器学习构建老年结直肠癌患者术后并发症风险因素预测模型。
J Robot Surg. 2025 Aug 1;19(1):441. doi: 10.1007/s11701-025-02611-y.
2
Risk and Protective Factors for Postoperative Complications in Elderly Patients With Colorectal Cancer.老年结直肠癌患者术后并发症的风险和保护因素。
Anticancer Res. 2022 Feb;42(2):1123-1130. doi: 10.21873/anticanres.15575.
3
The Relationship Between Clavien-Dindo Morbidity Classification and Oncologic Outcomes After Colorectal Cancer Resection.
结直肠癌切除术后 Clavien-Dindo 并发症分级与肿瘤学结局的关系。
Ann Surg Oncol. 2018 Jan;25(1):188-196. doi: 10.1245/s10434-017-6142-6. Epub 2017 Nov 7.