Machine Learning of Plasma Proteomics Classifies Diagnosis of Interstitial Lung Disease

Author:

Huang Yong1,Ma Shwu-Fan1ORCID,Oldham Justin M.2ORCID,Adegunsoye Ayodeji3,Zhu Daisy1,Murray Susan2,Kim John S.1,Bonham Catherine1ORCID,Strickland Emma1,Linderholm Angela L.4,Lee Cathryn T.3,Paul Tessy1,Mannem Hannah1,Maher Toby M.56ORCID,Molyneaux Philip L.5ORCID,Strek Mary E.3,Martinez Fernando J.7,Noth Imre1

Affiliation:

1. Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia;

2. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan;

3. Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois;

4. Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California;

5. National Heart and Lung Institute, Imperial College, London, United Kingdom;

6. Keck Medicine of the University of Southern California, Los Angeles, California; and

7. Weill Cornell Medical Center, New York, New York

Funder

National Heart, Lung, and Blood Institute

Publisher

American Thoracic Society

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reply to van der Sar et al.: Classifying Interstitial Lung Disease: Omics Are in the Air;American Journal of Respiratory and Critical Care Medicine;2024-09-01

2. Classifying Interstitial Lung Disease: Omics Are in the Air;American Journal of Respiratory and Critical Care Medicine;2024-09-01

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