Machine Learning Applied to Patient‐Reported Outcomes to Classify Physician‐Derived Measures of Rheu...
Machine Learning Applied to Patient‐Reported Outcomes to Classify Physician‐Derived Measures of Rheumatoid Arthritis Disease Activity
About this item
Full title
Author / Creator
Publisher
Boston, USA: Wiley Periodicals, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Boston, USA: Wiley Periodicals, Inc
Subjects
More information
Scope and Contents
Contents
Objective
Patient‐reported outcome (PRO) data have assumed increasing importance in the care of patients with rheumatoid arthritis (RA), yet physician‐derived disease activity measures, such as Clinical Disease Activity Index (CDAI), remain the most accepted metrics to assess disease activity. The possibility that newer longitudinal PRO data mig...
Alternative Titles
Full title
Machine Learning Applied to Patient‐Reported Outcomes to Classify Physician‐Derived Measures of Rheumatoid Arthritis Disease Activity
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_200a282c61cd4c1d859ce7c777e38f37
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_200a282c61cd4c1d859ce7c777e38f37
Other Identifiers
ISSN
2578-5745
E-ISSN
2578-5745
DOI
10.1002/acr2.11499
