An interpretable machine learning approach for detecting psoriatic arthritis in a UK primary care psoriasis cohort using electronic health records from the Clinical Practice Research Datalink.

Journal: Annals of the rheumatic diseases
PMID: 40024862

Abstract

OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed psoriatic arthritis (PsA) in a cohort of psoriasis patients and identify important clinical indicators of PsA in primary care.

Authors

  • Alexander Rudge
    Department of Mathematical Sciences, University of Bath, Bath, UK.
  • Neil McHugh
    Royal National Hospital for Rheumatic Diseases and Dept Pharmacy and Pharmacology, University of Bath, Bath , UK.
  • William Tillett
    Department of Life Sciences, University of Bath, Bath, UK; Royal National Hospital for Rheumatic Diseases, Royal United Hospitals, Bath, UK.
  • Theresa Smith
    Department of Mathematical Sciences, University of Bath, Bath, UK. Electronic address: t.r.smith@bath.ac.uk.

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