Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis-Reference-Cited by-同舟云学术

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Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis

Published:2019-05-01 Issue:4 Volume:39 Page:975-982
ISSN:0770-3198
Container-title:Clinical Rheumatology
language:en
Short-container-title:Clin Rheumatol

Author:

Deodhar Atul,Rozycki Martin,Garges Cody,Shukla Oodaye,Arndt Theresa,Grabowsky Tara,Park Yujin

Funder

Novartis Pharmaceuticals Corporation

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Rheumatology

Link

http://link.springer.com/content/pdf/10.1007/s10067-019-04553-x.pdf

Reference38 articles.

1. Braun J, Sieper J (2007) Ankylosing spondylitis. Lancet 369:1379–1390

2. Rudwaleit M, Landewé R, van der Heijde D, Listing J, Brandt J, Braun J, Burgos-Vargas R, Collantes-Estevez E, Davis J, Dijkmans B, Dougados M, Emery P, van der Horst-Bruinsma IE, Inman R, Khan MA, Leirisalo-Repo M, van der Linden S, Maksymowych WP, Mielants H, Olivieri I, Sturrock R, de Vlam K, Sieper J (2009) The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part I): classification of paper patients by expert opinion including uncertainty appraisal. Ann Rheum Dis 68:770–776

3. van der Linden S, Valkenburg HA, Cats A (1984) Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum 27:361–368

4. Reveille JD (2011) Epidemiology of spondyloarthritis in North America. Am J Med Sci 341:284–286

5. Feldtkeller E, Khan MA, van der Heijde D, van der Linden S, Braun J (2003) Age at disease onset and diagnosis delay in HLA-B27 negative vs positive patients with ankylosing spondylitis. Rheumatol Int 23:61–66

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1. Ankylosing spondylitis prediction using fuzzy K-nearest neighbor classifier assisted by modified JAYA optimizer;Computers in Biology and Medicine;2024-06

2. Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review;Journal of Clinical Orthopaedics and Trauma;2024-05

3. Artificial intelligence and machine learning in axial spondyloarthritis;Current Opinion in Rheumatology;2024-03-28

4. Uncovering the burden of hidradenitis suppurativa misdiagnosis and underdiagnosis: a machine learning approach;Frontiers in Medical Technology;2024-03-25

5. Barriers and facilitators in diagnosing axial spondyloarthritis: a qualitative study;Rheumatology International;2024-03-12

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