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

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 (C...

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Bibliographic Details
Main Authors: Youdan Feng, Fan Song, Peng Zhang, Guangda Fan, Tianyi Zhang, Xiangyu Zhao, Chenbin Ma, Yangyang Sun, Xiao Song, Huangsheng Pu, Fei Liu, Guanglei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Pharmacology
Subjects:
non–small cell lung cancer
radiogenomics
EGFR
computed tomography
ensemble learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.897597/full

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https://www.frontiersin.org/articles/10.3389/fphar.2022.897597/full

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