A Predictive Model to Analyze the Factors Affecting the Presence of Traumatic Brain Injury in the Elderly Occupants of Motor Vehicle Crashes Based on Korean In-Depth Accident Study (KIDAS) Database

A Predictive Model to Analyze the Factors Affecting the Presence of Traumatic Brain Injury in the Elderly Occupants of Motor Vehicle Crashes Based on Korean In-Depth Accident Study (KIDAS) Database

Traumatic brain injury (TBI), also known as intracranial injury, occurs when an external force injures the brain. This study aimed to analyze the factors affecting the presence of TBI in the elderly occupants of motor vehicle crashes. We defined elderly occupants as those more than 55 years old. Dam...

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Bibliographic Details
Main Authors: Hee Young Lee, Hyun Youk, Oh Hyun Kim, Chan Young Kang, Joon Seok Kong, Yeon Il Choo, Doo Ruh Choi, Hae Ju Lee, Dong Ku Kang, Kang Hyun Lee
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
traumatic brain injury
the elderly
predictive model
validation analysis
KIDAS database
Online Access:https://www.mdpi.com/1660-4601/18/8/3975

Internet

https://www.mdpi.com/1660-4601/18/8/3975

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