Background: Outcome after trauma depends on patient characteristics, quality of care, and random events. The TRISS model predicts probability of survival (Ps) adjusted for Injury Severity Score (ISS), Revised Trauma Score (RTS), mechanism of injury, and age. Quality of care is often evaluated by calculating the number of ‘‘excess’’ survivors, year by year. In contrast, the Variable Life-Adjusted Display (VLAD) technique allows rapid detection of altered survival. VLAD adjusts each death or survival by the patient’s risk status and graphically displays accumulated number of unexpected survivors over time. We evaluated outcome changes and their time relation to trauma service improvements. Methods: Observational, retrospective study of the to...
The aim of this study is to design, develop and evaluate artificial intelligence and statistical tec...
OBJECTIVES: To validate risk prediction models for acute traumatic brain injury (TBI) and to use the...
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge num...
AbstractBackgroundOutcome after trauma depends on patient characteristics, quality of care, and rand...
Background Outcome after trauma depends on patient characteristics, quality of care, and random even...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medic...
Objective: This study aimed to assess the significance of extracranial injuries, as measured by Inju...
Purpose: Numerous studies have modified the Trauma Injury and Severity Score (TRISS) to improve its ...
Background: Trauma is a neglected area of the society. It is a health problem that is responsible fo...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Background: The National Trauma Data Bank (NTDB) is an invaluable resource to study trauma outcomes....
Background: Trauma, in addition to economic and social costs, is the fourth cause of death in the wo...
Publisher Copyright: © Jonathan Tjerkaski et al., 2022; Published by Mary Ann Liebert, Inc. 2022.Stu...
The aim of this study is to design, develop and evaluate artificial intelligence and statistical tec...
OBJECTIVES: To validate risk prediction models for acute traumatic brain injury (TBI) and to use the...
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge num...
AbstractBackgroundOutcome after trauma depends on patient characteristics, quality of care, and rand...
Background Outcome after trauma depends on patient characteristics, quality of care, and random even...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medic...
Objective: This study aimed to assess the significance of extracranial injuries, as measured by Inju...
Purpose: Numerous studies have modified the Trauma Injury and Severity Score (TRISS) to improve its ...
Background: Trauma is a neglected area of the society. It is a health problem that is responsible fo...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
Background: The National Trauma Data Bank (NTDB) is an invaluable resource to study trauma outcomes....
Background: Trauma, in addition to economic and social costs, is the fourth cause of death in the wo...
Publisher Copyright: © Jonathan Tjerkaski et al., 2022; Published by Mary Ann Liebert, Inc. 2022.Stu...
The aim of this study is to design, develop and evaluate artificial intelligence and statistical tec...
OBJECTIVES: To validate risk prediction models for acute traumatic brain injury (TBI) and to use the...
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge num...