Abstract Number: 1745 • ACR Convergence 2020
A Novel Method for Predicting 1-Year Retention of Abatacept Using Machine Learning Techniques
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
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: 0167 • ACR Convergence 2020
Rheumatoid Arthritis Patient Phenotypes from a Digital Health Coaching Engagement Program
Background/Purpose: The goal of this study was to examine whether cluster analysis could be used to identify homogeneous subgroups of engagement in RA patients enrolled…Abstract Number: 0257 • ACR Convergence 2020
Application of Text Mining Methods to Identify Lupus Nephritis from Electronic Health Records
Background/Purpose: Lupus nephritis (LN) is a frequent complication of SLE and associated with higher morbidity and mortality. Accurate estimates of the prevalence of LN in…Abstract Number: 0569 • ACR Convergence 2020
Ability and Willingness to Utilize Telemedicine Among Rheumatology Patients – a Cross Sectional Survey
Background/Purpose: Telemedicine (TM) is the delivery of health care services using information and communication technologies. TM presents unique opportunities and benefits specifically in rheumatology as…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
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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