An application of machine learning based on real-world data: Mining features of fibrinogen in clinical stages of lung cancer between sexes

BACKGROUND: Lung cancer is the most threatening malignant tumor to human health and life. Using a variety of machine learning algorithms and statistical analyses, this paper explores, discovers and demonstrates new indicators for the early diagnosis of lung cancer and their diagnostic performance fr...

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Detalles Bibliográficos
Autores principales: Yin, Fangtao, Zhu, Hongyu, Hong, Songlin, Sun, Chen, Wang, Jie, Sun, Mengting, Xu, Lin, Wang, Xiaoxiao, Yin, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106088/
https://www.ncbi.nlm.nih.gov/pubmed/33987321
http://dx.doi.org/10.21037/atm-20-4704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106088/
https://www.ncbi.nlm.nih.gov/pubmed/33987321
http://dx.doi.org/10.21037/atm-20-4704

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