Abstracts tagged "big data and diagnosis"

Abstract Number: 893 • 2018 ACR/ARHP Annual Meeting
Identification of Axial Spondyloarthritis Patients in a Large Dataset: The Development and Validation of Novel Methods
Rebecca S. Overbury¹, Shaobo Pei², Gopi Penmetsa², Grant W. Cannon², Daniel O. Clegg³, Brian Sauer⁴ and Jessica Walsh⁵, ¹Internal Medicine, Divison of Rheumatology, University of Utah Medical Center, Salt Lake City, UT, ²University of Utah, Salt Lake City, UT, ³Division of Rheumatology, University of Utah Medical Center, Salt Lake City, UT, ⁴Salt Lake City VA Medical Center and University of Utah, Salt Lake City, UT, ⁵Rheumatology, Salt Lake City Veterans Affairs, Salt Lake City, UT
Background/Purpose: Big data research in axial spondyloarthritis (axSpA) is limited by a lack of adequate methods for identifying axSpA patients, since there are no billing…

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Abstracts tagged "big data and diagnosis"

Identification of Axial Spondyloarthritis Patients in a Large Dataset: The Development and Validation of Novel Methods