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

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

Abstract 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 mod...

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Bibliographic Details
Main Authors: Di Sun, Yu Wang, Qing Liu, Tingting Wang, Pengfei Li, Tianci Jiang, Lingling Dai, Liuqun Jia, Wenjing Zhao, Zhe Cheng
Format: Article
Language:English
Published: BMC 2022-01-01
Series:Respiratory Research
Subjects:
Interstitial lung disease
Connective tissue disease
Nomogram
ILD-GAP
Machine learning
LASSO
Online Access:https://doi.org/10.1186/s12931-022-01925-x

Internet

https://doi.org/10.1186/s12931-022-01925-x

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