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

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

<h3>Objectives</h3><p dir="ltr">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).</p><h3>Methods</h3><p dir="ltr">This study...

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Bibliographic Details
Main Author: Ahmad Abujaber (9100064) (author)
Other Authors: Adam Fadlalla (9100067) (author), Diala Gammoh (9100070) (author), Husham Abdelrahman (768893) (author), Monira Mollazehi (9100073) (author), Ayman El-Menyar (440103) (author)
Published: 2020
Subjects:
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Machine learning
Traumatic brain injury
Tracheostomy
Forecasting
Ventilators
Support vector machines
Artificial intelligence
Artificial neural networks
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