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Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort

BACKGROUND: The current interstitial lung disease (ILD) classification has overlapping clinical presentations and outcomes. Cluster analysis modeling is a valuable tool in identifying distinct clinical phenotypes in heterogeneous diseases. However, this approach has yet to be implemented in ILD. MET...

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Библиографические подробности
Опубликовано в: :Chest
Главные авторы: Adegunsoye, Ayodeji, Oldham, Justin M., Chung, Jonathan H., Montner, Steven M., Lee, Cathryn, Witt, Leah J., Stahlbaum, Danielle, Bermea, Rene S., Chen, Lena W., Hsu, Scully, Husain, Aliya N., Noth, Imre, Vij, Rekha, Strek, Mary E., Churpek, Matthew
Формат: Artigo
Язык:Inglês
Опубликовано: American College of Chest Physicians 2018
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5815877/
https://ncbi.nlm.nih.gov/pubmed/28964798
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chest.2017.09.026
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