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Prediction of lung cancer risk in Chinese population with genetic‐environment factor using extreme gradient boosting

2 May 2022

Abstract excerpt

BACKGROUND: Detecting early-stage lung cancer is critical to reduce the lung cancer mortality rate; however, existing models based on germline variants perform poorly, and new models are needed. This study aimed to use extreme gradient boosting to develop a predictive model for the early diagnosis of lung cancer in a multicenter case-control study. MATERIALS AND METHODS: A total of 974 cases and 1005 controls in...

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PMID: 35499292
DOI: 10.1002/cam4.4800

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