Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information
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DOI: 10.1007/s00432-019-03103-x
Abstract: Purpose Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore, we built predictive models to determine the EGFR mutation status of patients and guide therapeutic decision-making. Methods We collected data from 320 patients… read more here.
Keywords: model; model auroc; egfr mutation; mutation status ... See more keywords