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

Crowson, Cynthia S; Gunderson, Tina M; Davis, John M; Myasoedova, Elena; Kronzer, Vanessa L; Coffey, Caitrin M; Atkinson, Elizabeth J

Crowson, Cynthia S; Gunderson, Tina M; Davis, John M; Myasoedova, Elena; Kronzer, Vanessa L; Coffey, Caitrin M; Atkinson, Elizabeth J.

Affiliation

Crowson CS; Mayo Clinic, Rochester, Minnesota.
Gunderson TM; Mayo Clinic, Rochester, Minnesota.
Davis JM; Mayo Clinic, Rochester, Minnesota.
Myasoedova E; Mayo Clinic, Rochester, Minnesota.
Kronzer VL; Mayo Clinic, Rochester, Minnesota.
Coffey CM; Mayo Clinic, Rochester, Minnesota.
Atkinson EJ; Mayo Clinic, Rochester, Minnesota.

Arthritis Care Res (Hoboken) ; 75(2): 210-219, 2023 02.

Article in En | MEDLINE | ID: mdl-35724274

Subject(s)

Arthritis, Rheumatoid; Unsupervised Machine Learning; Humans; Female; Middle Aged; Male; Retrospective Studies; Reproducibility of Results; Comorbidity; Arthritis, Rheumatoid/diagnosis; Arthritis, Rheumatoid/epidemiology; Arthritis, Rheumatoid/complications

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Rheumatoid / Unsupervised Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Arthritis Care Res (Hoboken) Journal subject: REUMATOLOGIA Year: 2023 Type: Article

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