Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases-Reference-Cited by-同舟云学术

Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases

Published:2021-06-14 Issue: Volume: Page:
ISSN:0172-8172
Container-title:Rheumatology International
language:en
Short-container-title:Rheumatol Int

Author:

Vera Cruz Germano^ORCID,Bucourt Emilie^ORCID,Réveillère Christian^ORCID,Martaillé Virginie,Joncker-Vannier Isabelle,Goupille Philippe^ORCID,Mulleman Denis^ORCID,Courtois Robert^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Immunology,Immunology and Allergy,Rheumatology

Link

https://link.springer.com/content/pdf/10.1007/s00296-021-04916-1.pdf

Reference37 articles.

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2. American College of Rheumatology (2021). Diseases and conditions. Washington DC: ACR. Available from: https://www.rheumatology.org/I-Am-A/Patient-Caregiver/Diseases-Conditions. Accessed 11 Feb 2021

3. Hauser W, Fitzcharles M (2018) Facts and myths pertaining to fibromyalgia. Dialogues Clin Neurosci 20(1):53–62. https://doi.org/10.31887/DCNS.2018.20.1/whauser

4. Inanici FF, Yunus MB (2004) History of fibromyalgia: past to present. Curr Pain Headache Rep 8:369–378. https://doi.org/10.1007/s11916-996-0010-6

5. Wolfe F, Smythe HA, Yunus MB, Bennett RM et al (1990) The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. Arthritis Rheumatol 33(2):160–172. https://doi.org/10.1002/art.1780330203

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