Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach

• Jonathan Kennedy ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

  * E-mail: j.i.kennedy@swansea.ac.uk

  Affiliation Data Science Building, Swansea University, Wales, United Kingdom

  https://orcid.org/0000-0002-1122-6502

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• Natasha Kennedy,

  Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

  Affiliation Data Science Building, Swansea University, Wales, United Kingdom

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• Roxanne Cooksey,

  Roles Formal analysis, Writing – review & editing

  Affiliation Data Science Building, Swansea University, Wales, United Kingdom

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• Ernest Choy,

  Roles Conceptualization, Validation, Writing – review & editing

  Affiliation CREATE Centre, Section of Rheumatology, Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom

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• Stefan Siebert,

  Roles Conceptualization, Validation, Writing – review & editing

  Affiliation Institute of Infection Immunity & Inflammation, University of Glasgow, Glasgow, United Kingdom

  https://orcid.org/0000-0002-1802-7311

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• Muhammad Rahman,

  Roles Writing – review & editing

  Affiliation Data Science Building, Swansea University, Wales, United Kingdom

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• Sinead Brophy

  Roles Conceptualization, Formal analysis, Supervision, Validation, Writing – review & editing

  Affiliation Data Science Building, Swansea University, Wales, United Kingdom

  https://orcid.org/0000-0001-7417-2858

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