Article
Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.
Cancer control : journal of the Moffitt Cancer Center - 1 Jan 2000
Liu Yafeng, Zhou Jiawei, Wu Jing, Wang Wenyang, Wang Xueqin, Guo Jianqiang, Wang Qingsen, Zhang Xin, Li Danting, Xie Jun, Ding Xuansheng, Xing Yingru, Hu Dong
Abstract excerpt
OBJECTIVE: To develop and validate a generalized prediction model that can classify epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer patients. METHODS: A total of 346 patients (296 in the training cohort and 50 in the validation cohort) from four centers were included in this retrospective study. First, 1085 features were extracted using IBEX from the computed tomography...
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