Abstracts tagged "informatics"

Abstract Number: 1302 • ACR Convergence 2020
Exploration of Machine Learning Methods in Predicting Systemic Lupus Erythematosus Hospitalizations
April Jorge¹, Zhiyao Wu², Tashrif Chowdhury² and Yijun Zhao², ¹Massachusetts General Hospital, Boston, MA, ²Fordham University, Computer and Information Sciences Department, New York, NY
Background/Purpose: Systemic lupus erythematosus (SLE) is a heterogeneous disease associated with increased morbidity and mortality, and severe SLE flares can lead to hospitalizations. Our objective…
Abstract Number: 1545 • ACR Convergence 2020
An Artificial Intelligence (AI) Assistant Identifying Spinal Diffuse Idiopathic Skeletal Hyperostosis on Plain X-rays: A Pilot Deep Learning Study
Sarah Ringsted¹, Nishad Sathe¹, Atul Deodhar² and Dongseok Choi², ¹Oregon Health and Science University, Portland, OR, ²Oregon Health & Science University, Portland, OR
Background/Purpose: Diffuse idiopathic skeletal hyperostosis (DISH) is a non-inflammatory condition most classically seen in the spine, and is characterized by ossification of the spinal ligaments…
Abstract Number: 1597 • ACR Convergence 2020
Use of a Clinical Dashboard Improves the Documentation of Disease Severity Scores and May Facilitate the Implementation of Treat to Target Therapy
Taylor Nelson¹, Gary Kunkel² and Grant Cannon², ¹University of Utah, Salt Lake City, ²Salt Lake City VA Medical Center and University of Utah, Salt Lake City
Background/Purpose: Rheumatoid Arthritis (RA) management guidelines recommend the collection of Disease Activity Measures (DAMs) to direct therapy as a component of a “treat-to-target” (T2T) strategy. …
Abstract Number: 1745 • ACR Convergence 2020
A Novel Method for Predicting 1-Year Retention of Abatacept Using Machine Learning Techniques
Rieke Alten¹, Claire Behar², Christine Boileau², Pierre Merckaert², Ebenezer Afari², Virginie Vannier-Moreau³, Sean Connolly³, Yedid Elbez², Pierre-Antoine Juge⁴ and Karissa Lozenski³, ¹Schlosspark-Klinik, Universitätsmedizin, Berlin, Germany, ²Excelya, Boulogne-Billancourt, France, ³Bristol-Myers Squibb Company, Princeton, NJ, ⁴Université de Paris, Service de Rhumatologie Hôpital Bichat-Claude Bernard, AP-HP, Paris, France
Background/Purpose: In the ACTION (NCT02109666) study, using multivariable Cox proportional hazards regression models, patient (pt) global assessment of pain, country, reason for stopping last biologic,…
Abstract Number: 1788 • ACR Convergence 2020
Assessment of the Impact of Interferon Levels on Cognitive Dysfunction in Patients with SLE
Andrew Kwan¹, Joan Wither², Juan Pablo Diaz-Martinez², Robin Green³, Dorcas Beaton⁴, Mahta Kakvan², Lesley Ruttan³, Carmela Tartaglia⁵, Marvin Fritzler⁶, May Choi⁷, Jiandong Su², Dennisse Bonilla², Nicole Anderson², Patricia Katz⁸ and Zahi Touma⁹, ¹University of Toronto, Department of Medicine, Toronto, ON, Canada, ²University of Toronto Lupus Clinic, Centre for Prognosis Studies in Rheumatic Diseases, Toronto Western Hospital, University Health Network, Toronto, ON, Canada, ³Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada, ⁴Institute for Work & Health, Toronto, ON, Canada, ⁵University of Toronto, Krembil Neurosciences Centre, Toronto, ON, Canada, ⁶Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, ⁷Brigham and Women's Hospital | Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, ⁸University of California, San Francisco, Novato, CA, ⁹University of Toronto, Toronto, ON, Canada
Background/Purpose: Cognitive impairment (CI) is among the earliest and the most prevalent manifestations of SLE. Previous studies have demonstrated that the increased levels of interferon…
Abstract Number: 2888 • 2019 ACR/ARP Annual Meeting
Deriving Accurate Prednisone Dosing from Electronic Health Records: Analysis of a Natural Language Processing Tool for Complex Prescription Instructions
Francine Castillo¹, Adrienne Strait ², Michael Evans ³, Julia Kay ⁴, Milena Gianfrancesco ⁵, Zara Izadi ⁶, Laura Trupin ¹, Mylien Hoang ⁷, James Shalaby ⁸, Gabriela Schmajuk ⁹ and Jinoos Yazdany ⁴, ¹University of California, San Francisco, San Francisco, CA, ²UCSF School of Medicine, San Francisco, CA, ³University of California San Francisco, San Francisco, ⁴UCSF Division of Rheumatology, San Francisco, CA, ⁵University of California, San Francisco, San Francisco, ⁶UCSF Division of Rheumatology, San Francisco, ⁷Touro University, San Francisco, ⁸Elimu Informatics, San Francisco, ⁹UCSF, SFVAMC Division of Rheumatology, San Francisco, CA
Background/Purpose: Prednisone is commonly used to treat rheumatic diseases, yet few comparative effectiveness studies on different dosing regimens are available. Electronic health records (EHR) and…

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