Machine Learning Models for Predicting Abnormal Brain CT Scan Findings in Mild Traumatic Brain Injury Patients

Machine Learning Models for Predicting Abnormal Brain CT Scan Findings in Mild Traumatic Brain Injury Patients

Introduction: Traumatic Brain Injury (TBI) is one of the leading causes of mortality and severe disability worldwide. This study aimed to develop and optimize machine learning (ML) algorithms to predict abnormal brain computed tomography (CT) scans in patients with mild TBI. Methods: In this retr...

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Main Authors: Amirmohammad Toloui, Amir Ghaffari Jolfayi, Hamed Zarei, Arash Ansarian, Amir Azimi, Seyed Mohammad Forouzannia, Rosita Khatamian Oskooi, Gholamreza Faridaalaee, Shayan Roshdi Dizaji, Seyed Ali Forouzannia, Seyedeh Niloufar Rafiei Alavi, Mohammadreza Alizadeh, Hadis Najafimehr, Saeed Safari, Alireza Baratloo, Mostafa Hosseini, Mahmoud Yousefifard
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2025-06-01
Series:Archives of Academic Emergency Medicine
Subjects:
Machine learning
Brain injuries
Glasgow coma scale
Online Access:https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2709
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https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2709

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