Image 3_Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model.jpg

Image 3_Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model.jpg

Background<p>Colorectal 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 identifica...

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Bibliographic Details
Main Author: Guinian Du (21730952) (author)
Other Authors: Hui Lv (1537975) (author), Yishan Liang (21730955) (author), Jingyue Zhang (14338044) (author), Qiaoling Huang (3110331) (author), Guiming Xie (20425069) (author), Xian Wu (309304) (author), Hao Zeng (329852) (author), Lijuan Wu (2602576) (author), Jianbo Ye (18511464) (author), Wentan Xie (21730964) (author), Xia Li (14984) (author), Yifan Sun (734245) (author)
Published: 2025
Subjects:
Oncology and Carcinogenesis not elsewhere classified
Colorectal cancer
Risk prediction
Machine learning
LightGBM model
Early diagnosis
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