Using hypergraphs to quantify importance of sets of diseases by healthcare resource utilisation: A retrospective cohort study

• James Rafferty ,

  Roles Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  * E-mail: j.m.rafferty@swansea.ac.uk

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

  https://orcid.org/0000-0002-1667-7265

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• Alexandra Lee,

  Roles Software, Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

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• Ronan A. Lyons,

  Roles Funding acquisition, Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

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• Ashley Akbari,

  Roles Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

  https://orcid.org/0000-0003-0814-0801

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• Niels Peek,

  Roles Funding acquisition, Writing – review & editing

  Affiliations Division of Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom, Alan Turing Institute, London, United Kingdom

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• Farideh Jalali-najafabadi,

  Roles Writing – review & editing

  Affiliation Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom

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• Thamer Ba Dhafari,

  Roles Writing – review & editing

  Affiliation Division of Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom

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• Jane Lyons,

  Roles Data curation, Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

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• Alan Watkins,

  Roles Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

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• Rowena Bailey

  Roles Project administration, Supervision, Writing – review & editing

  Affiliation Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom

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