Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

• Ahmad Abujaber,

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

  Affiliation Assistant Executive Director of Nursing, Hamad medical corporation, Doha, Qatar

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• Adam Fadlalla,

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

  Affiliation Management Information Systems, Business, and Economics faculty at Qatar University, Doha, Qatar

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• Diala Gammoh,

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

  Affiliation Industrial Engineering, University of Central Florida, Orlando, Florida, United States of America

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• Husham Abdelrahman,

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

  Affiliation Department of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar

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• Monira Mollazehi,

  Roles Conceptualization, Data curation, Methodology, Writing – review & editing

  Affiliation Department of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar

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• Ayman El-Menyar

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

  * E-mail: aymanco65@yahoo.com

  Affiliations Department of Surgery, Trauma Surgery, Clinical Research, Hamad Medical Corporation, Doha, Qatar, Department of Clinical Medicine, Weill Cornell Medical college, Doha, Qatar

  http://orcid.org/0000-0003-2584-953X

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