Utilizing machine learning for survival analysis to identify risk factors for COVID-19 intensive care unit admission: A retrospective cohort study from the United Arab Emirates

• Aamna AlShehhi ,

  Contributed equally to this work with: Aamna AlShehhi, Hiba Alblooshi

  Roles Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft

  Affiliations Biomedical Engineering Department,College of Engineering, Khalifa University, Abu Dhabi, United Arab Emirates, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates

  https://orcid.org/0000-0003-1868-1003

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• Taleb M. Almansoori,

  Roles Conceptualization, Investigation, Resources, Validation, Writing – review & editing

  Affiliation Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

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• Ahmed R. Alsuwaidi,

  Roles Conceptualization, Investigation, Resources, Validation, Writing – review & editing

  Affiliation Department of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

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• Hiba Alblooshi

  Contributed equally to this work with: Aamna AlShehhi, Hiba Alblooshi

  Roles Conceptualization, Data curation, Investigation, Project administration, Writing – original draft, Writing – review & editing

  * E-mail: hiba.alblooshi@uaeu.ac.ae

  Affiliation Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

  https://orcid.org/0000-0002-9229-8726

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