Applying interpretable machine learning algorithms to predict risk factors for permanent stoma in patients after TME.

Yuan Liu,Songyun Zhao,Wenyi Du,Zhiqiang Tian,Hao Chi,Cheng Chao,Wei Shen

Frontiers in surgery（2023）

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摘要

The prediction model for permanent stoma in patients with rectal cancer derived from the XGBoost machine learning algorithm in this study has high prediction accuracy and clinical utility.

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关键词

machine learning,permanent stoma,prognosis,rectal cancer,risk factor,surgery

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