Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review

• Mohsen Askar ,

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

  * E-mail: mohsen.g.askar@uit.no

  Affiliation Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway

  https://orcid.org/0000-0002-9257-5164

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• Masoud Tafavvoghi,

  Roles Data curation, Investigation, Validation, Writing – review & editing

  Affiliation Faculty of Science and Technology, Department of Computer Science, UiT-The Arctic University of Norway, Tromsø, Norway

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• Lars Småbrekke,

  Roles Data curation, Investigation, Methodology, Supervision, Writing – review & editing

  Affiliation Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway

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• Lars Ailo Bongo,

  Roles Supervision, Writing – review & editing

  Affiliation Faculty of Science and Technology, Department of Computer Science, UiT-The Arctic University of Norway, Tromsø, Norway

  https://orcid.org/0000-0002-7544-2482

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• Kristian Svendsen

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

  Affiliation Faculty of Health Sciences, Department of Pharmacy, UiT-The Arctic University of Norway, Tromsø, Norway

  https://orcid.org/0000-0003-3481-3539

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