Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

Mohamed I Seedahmed   ^{1, 2} , MPH, MD ;   Izabella Mogilnicka   ^{2, 3} , MD ;   Siyang Zeng   ^{2, 4} , MS ;   Gang Luo   ⁴ , PhD ;   Mary A Whooley   ^{2, 5, 6} , MD ;   Charles E McCulloch   ⁷ , PhD ;   Laura Koth   ^{1 *} , MD ;   Mehrdad Arjomandi   ^{1, 2 *} , MD

¹ Division of Pulmonary, Critical Care, Allergy and Immunology, and Sleep, Department of Medicine, University of California San Francisco, San Francisco, CA, United States

² San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States

³ Department of Experimental Physiology and Pathophysiology, Laboratory of the Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland

⁴ Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, United States

⁵ Department of Medicine, University of California San Francisco, San Francisco, CA, United States

⁶ Measurement Science Quality Enhancement Research Initiative, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States

⁷ Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States

*these authors contributed equally