Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease

BACKGROUND: The exact risk assessment is crucial for the management of connective tissue disease-associated interstitial lung disease (CTD-ILD) patients. In the present study, we develop a nomogram to predict 3‑ and 5-year mortality by using machine learning approach and test the ILD-GAP model in Ch...

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Detalles Bibliográficos
Autores principales: Sun, Di, Wang, Yu, Liu, Qing, Wang, Tingting, Li, Pengfei, Jiang, Tianci, Dai, Lingling, Jia, Liuqun, Zhao, Wenjing, 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/PMC8742429/
https://www.ncbi.nlm.nih.gov/pubmed/34996461
http://dx.doi.org/10.1186/s12931-022-01925-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742429/
https://www.ncbi.nlm.nih.gov/pubmed/34996461
http://dx.doi.org/10.1186/s12931-022-01925-x

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