Explainable Machine Learning Model to Prediction EGFR Mutation in Lung Cancer

OBJECTIVES: The aim of this study is to determine whether the clinical features including blood markers can establish an explainable machine learning model to predict epidermal growth factor receptor (EGFR) mutation in lung cancer. METHODS: We retrospectively analyzed 7,413 patients with lung adenoc...

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Detalles Bibliográficos
Autores principales: Yang, Ruiyuan, Xiong, Xingyu, Wang, Haoyu, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259982/
https://www.ncbi.nlm.nih.gov/pubmed/35814445
http://dx.doi.org/10.3389/fonc.2022.924144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259982/
https://www.ncbi.nlm.nih.gov/pubmed/35814445
http://dx.doi.org/10.3389/fonc.2022.924144

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