Work

Enhancing the identification of rheumatoid arthritis-associated interstitial lung disease through text mining of chest computerized tomography reports

Year: 2023

Type: article

Study design: Observational Study

Source: Seminars in Arthritis and Rheumatism

DOI: 10.1016/j.semarthrit.2023.152204

Authors: Brent A. Luedders, Brendan J. Cope, Daniel Hershberger, Matthew DeVries, W. Scott Campbell, James Campbell, Punyasha Roul, Yangyuna Yang, Jorge Rojas, Grant W. Cannon, Brian C. Sauer, Joshua F. Baker, Jeffrey R. Curtis, Ted R. Mikuls, Bryant R. England

Institutions: VA Nebraska Western Iowa Health Care System, University of Nebraska Medical Center, VA Puget Sound Health Care System, University of Utah, VA Salt Lake City Healthcare System, Philadelphia VA Medical Center, University of Pennsylvania, University of Alabama at Birmingham, Omaha VA Medical Center

Language: English

Topic: Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Defense, U.S. Department of Veterans Affairs, American College of Rheumatology Research and Education Foundation, Pfizer, Sanofi, Gilead Sciences, Patient-Centered Outcomes Research Institute, Rheumatology Research Foundation, University of Nebraska Medical Center, National Institutes of Health, National Institute of General Medical Sciences, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: G136986222, G1507378265, G16477447, G173497652, G1986469567, G2288164393, G2699336993, G2840147328, G6445281850, G6663158355, G6829722853, G7078062614, G9000136283, Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA), Great Plains IDeA-CTR

OpenAlex ID: W4363673301

FWCI: 1.649

Cites: 20

Cited by: 9

Related to: 10