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Novel insights into predicting the presence of micropapillary and solid components in stage IA lung adenocarcinoma using machine learning models of modifiable risk factors

Background Lung adenocarcinoma (LUAC) patients with micropapillary (MP) and/or solid (S) generally demonstrate a poorer survival prognosis. In the diagnosis and treatment of stage IA LUAC, precisely establishing personalized treatment strategies for patients is crucial for both clinical practice and...

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Principais autores: Xiuzhi Li, Zirui Huang, Ningbo Fan, Han Yang
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2025-12-01
Serier:Annals of Medicine
Fag:
Lung adenocarcinoma
micropapillary adenocarcinoma
solid adenocarcinoma
prediction model
machine learning
Online adgang:https://www.tandfonline.com/doi/10.1080/07853890.2025.2590850
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