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

Journal: PloS one
Published Date: Jul 8, 2020

Abstract

OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).

Authors

  • Ahmad Abujaber
    Assistant Executive Director of Nursing, Hamad medical corporation, Doha, Qatar.
  • Adam Fadlalla
    Management Information Systems, Business, and Economics faculty at Qatar University, Doha, Qatar.
  • Diala Gammoh
    Industrial Engineering, University of Central Florida, Orlando, Florida, United States of America.
  • Husham Abdelrahman
    Department of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
  • Monira Mollazehi
    Department of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
  • Ayman El-Menyar
    Department of Surgery, Trauma Surgery, Clinical Research, Hamad Medical Corporation, Doha, Qatar.

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