Machine learning prediction model of prolonged delay to loop ileostomy closure after rectal cancer surgery: a retrospective study

Machine learning prediction model of prolonged delay to loop ileostomy closure after rectal cancer surgery: a retrospective study

Abstract Background Delayed closure of a temporary ileostomy in patients with rectal cancer may cause psychological, physiological, and socioeconomic burdens to patients. Purpose This study aimed to develop and validate a machine learning-based model to predict the delayed ileostomy closure after su...

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Bibliographic Details
Main Authors: Jianying Liu, Mengxiao Jiang, Xiaoping Chen, Yonglan Ge, Zongxin Zheng, Xia Yang, Wenhao Zhou, Huiting Zhang, Meichun Zheng, Baojia Luo
Format: Article
Language:English
Published: BMC 2025-05-01
Series:World Journal of Surgical Oncology
Subjects:
Machine learning
Rectal cancer
Loop ileostomy
Delayed closure
Online Access:https://doi.org/10.1186/s12957-025-03843-w
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https://doi.org/10.1186/s12957-025-03843-w

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