Predicting 3-year all-cause mortality in rectal cancer patients based on body composition and machine learning

Predicting 3-year all-cause mortality in rectal cancer patients based on body composition and machine learning

ObjectivesThe composition of abdominal adipose tissue and muscle mass has been strongly correlated with the prognosis of rectal cancer. This study aimed to develop and validate a machine learning (ML) predictive model for 3-year all-cause mortality after laparoscopic total mesorectal excision (LaTME...

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Bibliographic Details
Main Authors: Xiangyong Li, Zeyang Zhou, Xiaoyang Zhang, Xinmeng Cheng, Chungen Xing, Yong Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Nutrition
Subjects:
rectal cancer
nutrition
prognosis
machine learning
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2025.1473952/full
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https://www.frontiersin.org/articles/10.3389/fnut.2025.1473952/full

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