A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system

• Ellen T. Heyman ,

  Roles Conceptualization, Project administration, Writing – original draft

  * E-mail: ellen.tolestam-heyman@regionhalland.se

  Affiliations Department of Emergency Medicine, Halland Hospital, Region Halland, Sweden, Emergency Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden

  https://orcid.org/0000-0002-1106-1701

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• Awais Ashfaq,

  Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

  Affiliations Halland Hospital, Region Halland, Sweden, Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden

  https://orcid.org/0000-0001-5688-0156

  ⨯
• Ulf Ekelund,

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

  Affiliations Emergency Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Skåne University Hospital, Lund, Sweden

  ⨯
• Mattias Ohlsson,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliations Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden, Centre for Environmental and Climate Science, Lund University, Lund, Sweden

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• Jonas Björk,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliations Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden, Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden

  https://orcid.org/0000-0003-1883-2000

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• Ardavan M. Khoshnood ,

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

  ¶‡ AMK and ML Shared last authorship on this work.

  Affiliations Emergency Medicine, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden, Skåne University Hospital, Malmö, Sweden

  https://orcid.org/0000-0002-3142-4119

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• Markus Lingman

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

  ¶‡ AMK and ML Shared last authorship on this work.

  Affiliations Halland Hospital, Region Halland, Sweden, Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

  https://orcid.org/0000-0002-4068-0341

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