Estimation of prevalence of autoimmune diseases in the United States using electronic health record data.

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Bibliographic Details
Title: Estimation of prevalence of autoimmune diseases in the United States using electronic health record data.
Authors: Abend AH; Autoimmune Registry Inc., Guilford, Connecticut, USA., He I; Autoimmune Registry Inc., Guilford, Connecticut, USA., Bahroos N; Division of Bioinformatics, Department of Population and Public Health Sciences, Keck School of Medicine and., Christianakis S; Division of Bioinformatics, Department of Population and Public Health Sciences, Keck School of Medicine and., Crew AB; Department of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA., Wise LM; Division of Bioinformatics, Department of Population and Public Health Sciences, Keck School of Medicine and., Lipori GP; University of Florida Health, Gainesville, Florida, USA., He X; University of Florida Health, Gainesville, Florida, USA., Murphy SN; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Herrick CD; Research Information Systems and Computing, Mass General Brigham, Somerville, Massachusetts, USA., Avasarala J; Department of Neurology, University of Kentucky Medical Center, Lexington, Kentucky, USA., Weiner MG; Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA., Zelko JS; Georgia Tech Research Institute, Atlanta, Georgia, USA., Matute-Arcos E; Autoimmune Registry Inc., Guilford, Connecticut, USA., Abajian M; Division of Bioinformatics, Department of Population and Public Health Sciences, Keck School of Medicine and., Payne PR; Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA., Lai AM; Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA., Davis HA; Institute for Clinical and Translational Science, University of Iowa, Iowa City, Iowa, USA., Hoberg AA; Institute for Clinical and Translational Science, University of Iowa, Iowa City, Iowa, USA., Ortman CE; Institute for Clinical and Translational Science, University of Iowa, Iowa City, Iowa, USA., Gode AD; Clinical & Translational Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Taylor BW; Clinical & Translational Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Osinski KI; Clinical & Translational Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Di Florio DN; Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, Florida, USA.; Center for Clinical and Translational Science and.; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota, USA., Rose NR; Harvard Medical School, Boston, Massachusetts, USA., Miller FW; National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA., Tsokos GC; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA., Fairweather D; Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, Florida, USA.; Center for Clinical and Translational Science and.; Department of Immunology, Mayo Clinic, Jacksonville, Florida, USA.
Source: The Journal of clinical investigation [J Clin Invest] 2024 Dec 12; Vol. 135 (4). Date of Electronic Publication: 2024 Dec 12.
Publication Type: Journal Article
Journal Info: Publisher: American Society for Clinical Investigation Country of Publication: United States NLM ID: 7802877 Publication Model: Electronic Cited Medium: Internet ISSN: 1558-8238 (Electronic) Linking ISSN: 00219738 NLM ISO Abbreviation: J Clin Invest Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-8238
DOI:10.1172/JCI178722