Explainable machine learning for predicting lung metastasis of colorectal cancer

Explainable machine learning for predicting lung metastasis of colorectal cancer

Abstract Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning (ML) that can evaluate the risk of lung...

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Bibliographic Details
Main Authors: Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
SEER
Colorectal cancer
Random forest
Lung metastasis
SHapley additive exPlanations
Online Access:https://doi.org/10.1038/s41598-025-98188-5
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