Predicting anaplastic lymphoma kinase rearrangement status in patients with non-small cell lung cancer using a machine learning algorithm that combines clinical features and CT images

PURPOSE: To develop an appropriate machine learning model for predicting anaplastic lymphoma kinase (ALK) rearrangement status in non-small cell lung cancer (NSCLC) patients using computed tomography (CT) images and clinical features. METHOD AND MATERIALS: This study included 193 patients with NSCLC...

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Detalles Bibliográficos
Autores principales: Hao, Peng, Deng, Bo-Yu, Huang, Chan-Tao, Xu, Jun, Zhou, Fang, Liu, Zhe-Xing, Zhou, Wu, Xu, Yi-Kai
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/PMC9630325/
https://www.ncbi.nlm.nih.gov/pubmed/36338735
http://dx.doi.org/10.3389/fonc.2022.994285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630325/
https://www.ncbi.nlm.nih.gov/pubmed/36338735
http://dx.doi.org/10.3389/fonc.2022.994285

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