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

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 o...

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Detalles Bibliográficos
Autores principales: Li, Yutao, Zou, Zixiu, Gao, Zhunyi, Wang, Yi, Xiao, Man, Xu, Chang, Jiang, Gengxi, Wang, Haijian, Jin, Li, Wang, Jiucun, Wang, Huai Zhou, Guo, Shicheng, Wu, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741969/
https://www.ncbi.nlm.nih.gov/pubmed/35499292
http://dx.doi.org/10.1002/cam4.4800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741969/
https://www.ncbi.nlm.nih.gov/pubmed/35499292
http://dx.doi.org/10.1002/cam4.4800

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