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Explainable Machine Learning Model to Prediction EGFR Mutation in Lung Cancer

23 Jun 2022

Abstract excerpt

Objectives: The aim of this study is to determine whether the clinical features including blood markers can establish an explainable machine learning model to predict epidermal growth factor receptor (EGFR) mutation in lung cancer. Methods: We retrospectively analyzed 7,413 patients with lung adenocarcinoma (LA) diagnosed by gene sequencing in West China Hospital of the Sichuan University from April 2015 to June...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35814445
DOI: 10.3389/fonc.2022.924144

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