Construction of a prognostic prediction model for colorectal cancer based on 5-year clinical follow-up data

Construction of a prognostic prediction model for colorectal cancer based on 5-year clinical follow-up data

Abstract Colorectal cancer (CRC) is a prevalent malignant tumor that presents significant challenges to both public health and healthcare systems. The aim of this study was to develop a machine learning model based on five years of clinical follow-up data from CRC patients to accurately identify ind...

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Bibliographic Details
Main Authors: Boao Xiao, Min Yang, Yao Meng, Weimin Wang, Yuan Chen, Chenglong Yu, Longlong Bai, Lishun Xiao, Yansu Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Colorectal cancer
Machine learning
Prognosis
Follow-up studies
Risk factors
Online Access:https://doi.org/10.1038/s41598-025-86872-5
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https://doi.org/10.1038/s41598-025-86872-5

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