2024
DOI: 10.3748/wjg.v30.i23.2991
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Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer

Li-Qun Cai,
Da-Qing Yang,
Rong-Jian Wang
et al.

Abstract: BACKGROUND Colorectal cancer significantly impacts global health, with unplanned reoperations post-surgery being key determinants of patient outcomes. Existing predictive models for these reoperations lack precision in integrating complex clinical data. AIM To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients. METHODS Data of patients treated for colorectal cancer (n = 2044) at the First Affil… Show more

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