Using Unsupervised Machine Learning Methods to Cluster Comorbidities in a Population‐Based Cohort of Patients With Rheumatoid Arthritis-Reference-Cited by-同舟云学术

Using Unsupervised Machine Learning Methods to Cluster Comorbidities in a Population‐Based Cohort of Patients With Rheumatoid Arthritis

Published:2022-09-15 Issue:2 Volume:75 Page:210-219
ISSN:2151-464X
Container-title:Arthritis Care & Research
language:en
Short-container-title:Arthritis Care & Research

Author:

Crowson Cynthia S.¹^ORCID,Gunderson Tina M.¹,Davis John M.¹^ORCID,Myasoedova Elena¹^ORCID,Kronzer Vanessa L.¹^ORCID,Coffey Caitrin M.¹^ORCID,Atkinson Elizabeth J.¹^ORCID

Affiliation:

1. Mayo Clinic Rochester Minnesota

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institute on Aging

Publisher

Wiley

Subject

Rheumatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acr.24973

Reference36 articles.

1. Multimorbidity Burden in Rheumatoid Arthritis: A Population-based Cohort Study

2. Examining the relationship between rheumatoid arthritis, multimorbidity and adverse health‐related outcomes: a systematic review

3. U.S. Department of Health and Human Services.Multiple chronic conditions ‐ a strategic framework: optimum health and quality of life for individuals with multiple chronic conditions. Washington D.C.2010. URL:https://www.hhs.gov/sites/default/files/ash/initiatives/mcc/mcc_framework.pdf.

4. Map clusters of diseases to tackle multimorbidity

5. Fragility Fractures Are Associated with an Increased Risk for Cardiovascular Events in Women and Men with Rheumatoid Arthritis: A Population-based Study

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