Machine learning predictions of unplanned readmissions using electronic medical records: Predictor importance across medical and surgical patient populations

• Michael M. Havranek ,

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

  * E-mail: michael.havranek@unilu.ch

  Affiliation Competence Center for Health Data Science, Faculty of Health Science and Medicine, University of Lucerne, Lucerne, Switzerland

  https://orcid.org/0000-0001-5957-3899

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• Aljoscha B. Hwang,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Writing – review & editing

  Affiliations Medical Department, Hirslanden Group, Zurich, Switzerland, Faculty of Health Science and Medicine, University of Lucerne, Lucerne, Switzerland

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• Ilona Funke,

  Roles Formal analysis, Validation, Writing – review & editing

  Affiliation Medical Department, Hirslanden Group, Zurich, Switzerland

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• Dominique Kuhlen,

  Roles Data curation, Resources, Writing – review & editing

  Affiliation Group Executive Board, Hirslanden Group, Zurich, Switzerland

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• Daniel Liedtke,

  Roles Conceptualization, Resources, Writing – review & editing

  Affiliation Group Executive Board, Hirslanden Group, Zurich, Switzerland

  https://orcid.org/0009-0007-5785-3839

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• Stefan Boes

  Roles Conceptualization, Methodology, Resources, Supervision, Writing – review & editing

  Affiliation Faculty of Health Science and Medicine, University of Lucerne, Lucerne, Switzerland

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