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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Autori principali:	Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-04-01
Serie:	Scientific Reports
Soggetti:	SEER Colorectal cancer Random forest Lung metastasis SHapley additive exPlanations
Accesso online:	https://doi.org/10.1038/s41598-025-98188-5
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