Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model

Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model

BackgroundColorectal cancer (CRC) is a highly frequent cancer worldwide, and early detection and risk stratification playing a critical role in reducing both incidence and mortality. we aimed to develop and validate a machine learning (ML) model using clinical data to improve CRC identification and...

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Main Authors: Guinian Du, Hui Lv, Yishan Liang, Jingyue Zhang, Qiaoling Huang, Guiming Xie, Xian Wu, Hao Zeng, Lijuan Wu, Jianbo Ye, Wentan Xie, Xia Li, Yifan Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
Colorectal cancer
Risk prediction
Machine learning
LightGBM model
Early diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1575844/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1575844/full

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