Machine Learning Can Identify an Antinuclear Antibody Pattern That May Rule Out Systemic Autoimmune Rheumatic Diseases
Year: 2025
Type: conference-abstract
Source: The Journal of Rheumatology
Authors: Farbod Moghaddam, Javad Sajadi, Ann Clarke, Sasha Bernatsky, Karen Costenbader, Murray Urowitz, John Hanly, Caroline Gordon, Sang-Cheol Bae, Juanita Romero-Diaz, Jorge Sanchez-Guerrero, Daniel J Wallace, David Isenberg, Anisur Rahman, Joan. Merrill, Paul R Fortin, Dafna D Gladman, Ian Bruce, Michelle Petri, Ellen Ginzler, Mary-Anne Dooley, Rosalind Ramsey-Goldman, Susan Manzi, Andreas Jönsen, Graciela S. Alarcón, Ronald Van Vollenhoven, Cynthia Aranow, Meggan Mackay, Guillermo Ruiz-Irastorza, S. Sam Lim, Murat Inanc, Kenneth Kalunian, Soren Jacobsen, Christine Peschken, Diane L Kamen, Anca Askanase, Marvin Fritzler, Mina Aminghafari, May Choi
Institutions: University of Calgary, McGill University, Brigham and Women's Hospital, University of Toronto, Dalhousie University, University of Birmingham, Hanyang University Seoul Hospital, Hanyang University Hospital for Rheumatic Disease, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Krembil Research Institute, Cedars-Sinai Medical Center, University College London, Oklahoma Medical Research Foundation, Université Laval, Queen's University Belfast, Johns Hopkins University, SUNY Downstate Health Sciences University, University of North Carolina at Chapel Hill, Northwestern University, Allegheny Health Network, Allegheny-Singer Research Institute, Lund University, University of Alabama at Birmingham, Amsterdam University Medical Centers, Feinstein Institute for Medical Research, Northwell Health, Emory University, Istanbul University, University of California San Diego, Copenhagen University Hospital, University of Manitoba, Medical University of South Carolina, Columbia University Irving Medical Center
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4410698892