Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population

BACKGROUND: Combined pulmonary fibrosis and emphysema (CPFE) is a novel clinical entity with a poor prognosis. This study aimed to develop a clinical nomogram model to predict the 1-, 2- and 3-year mortality of patients with CPFE by using the machine learning approach, and to validate the predictive...

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Detalles Bibliográficos
Autores principales: Liu, Qing, Sun, Di, Wang, Yu, Li, Pengfei, Jiang, Tianci, Dai, Lingling, Duo, Mengjie, Wu, Ruhao, Cheng, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422147/
https://www.ncbi.nlm.nih.gov/pubmed/36038872
http://dx.doi.org/10.1186/s12890-022-02124-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422147/
https://www.ncbi.nlm.nih.gov/pubmed/36038872
http://dx.doi.org/10.1186/s12890-022-02124-6

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