Prediction of EGFR Mutation Status in Non–Small Cell Lung Cancer Based on Ensemble Learning

Objectives: We aimed to identify whether ensemble learning can improve the performance of the epidermal growth factor receptor (EGFR) mutation status predicting model. Methods: We retrospectively collected 168 patients with non–small cell lung cancer (NSCLC), who underwent both computed tomography (...

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Detalles Bibliográficos
Autores principales: Feng, Youdan, Song, Fan, Zhang, Peng, Fan, Guangda, Zhang, Tianyi, Zhao, Xiangyu, Ma, Chenbin, Sun, Yangyang, Song, Xiao, Pu, Huangsheng, Liu, Fei, Zhang, Guanglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271946/
https://www.ncbi.nlm.nih.gov/pubmed/35833032
http://dx.doi.org/10.3389/fphar.2022.897597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271946/
https://www.ncbi.nlm.nih.gov/pubmed/35833032
http://dx.doi.org/10.3389/fphar.2022.897597

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