AIMC Topic: Brain Injuries, Traumatic

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Effects of robotic neurorehabilitation through lokomat plus virtual reality on cognitive function in patients with traumatic brain injury: A retrospective case-control study.

The International journal of neuroscience Oct 15, 2019
Traumatic brain injury (TBI) is a clinical condition characterized by damage due to a mechanical physical event, which has a devastating impact on both the patient and his/her family. The purpose of this study is to evaluate the effects of robotic n...
Female Adult Male Case-Control Studies Humans Retrospective Studies Attention Psychomotor Performance Neurological Rehabilitation Outcome and Process Assessment, Health Care Executive Function Cognitive Dysfunction Virtual Reality Brain Injuries, Traumatic Robotics
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Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Journal of neurotrauma Sep 18, 2019
Recently, successful predictions using machine learning (ML) algorithms have been reported in various fields. However, in traumatic brain injury (TBI) cohorts, few studies have examined modern ML algorithms. To develop a simple ML model for TBI outco...
Hospital Mortality Brain Injuries, Traumatic Aged Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent Humans Child Machine Learning Prognosis Female
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Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.

Journal of critical care Aug 5, 2019
PURPOSE: To compare twenty-two machine learning (ML) models against logistic regression on survival prediction in severe traumatic brain injury (STBI) patients in a single center study.
Machine Learning Algorithms Prognosis Female Cross-Sectional Studies Humans Middle Aged Logistic Models Brain Injuries, Traumatic Area Under Curve
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Multi-Dimensional Mapping of Brain-Derived Extracellular Vesicle MicroRNA Biomarker for Traumatic Brain Injury Diagnostics.

Journal of neurotrauma May 6, 2019
The diagnosis and prognosis of traumatic brain injury (TBI) is complicated by variability in the type and severity of injuries and the multiple endophenotypes that describe each patient's response and recovery to the injury. It has been challenging t...
Male Extracellular Vesicles Mice Brain Injuries, Traumatic Humans Machine Learning Biomarkers Animals Mice, Inbred C57BL MicroRNAs Receptors, AMPA
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Tuning model parameters in class-imbalanced learning with precision-recall curve.

Biometrical journal. Biometrische Zeitschrift Dec 12, 2018
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...
Humans Machine Learning ROC Curve Support Vector Machine Brain Injuries, Traumatic Models, Statistical Colonic Neoplasms Biometry
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Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The Journal of surgical research Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Child, Preschool Hemorrhage Predictive Value of Tests Child Male Injury Severity Score Blood Transfusion Registries Risk Assessment Brain Injuries, Traumatic Patient Selection Adolescent Survival Analysis Time Factors Humans Retrospective Studies Female Sensitivity and Specificity
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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Abbreviated Injury Scale Decision Trees Taiwan Predictive Value of Tests Bayes Theorem Machine Learning Female Aged Aged, 80 and over ROC Curve Humans Logistic Models Young Adult Neural Networks, Computer Support Vector Machine Adult Brain Injuries, Traumatic Male Middle Aged
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Using an artificial neural network to predict traumatic brain injury.

Journal of neurosurgery. Pediatrics Nov 2, 2018
In BriefPediatric traumatic brain injury (TBI) is common, but not all injuries require hospitalization. A computational tool for ruling-in patients who will have clinically relevant TBI (CRTBI) would be valuable, providing an evidence-based mechanism...
Brain Injuries, Traumatic Predictive Value of Tests Area Under Curve False Positive Reactions Sensitivity and Specificity Male Adolescent Child Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer Female
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Social-cue perception and mentalizing ability following traumatic brain injury: A human-robot interaction study.

Brain injury Oct 18, 2018
PRIMARY OBJECTIVE: Research studies and clinical observations of individuals with traumatic brain injury (TBI) indicate marked deficits in mentalizing-perceiving social information and integrating it into judgements about the affective and mental sta...
Humans Female Aged Young Adult Adult Male Interpersonal Relations Fixation, Ocular Social Perception Mentalization Middle Aged Cues Brain Injuries, Traumatic Neuropsychological Tests Robotics Judgment Psychomotor Performance Social Environment
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Optimal cerebral perfusion pressure via transcranial Doppler in TBI: application of robotic technology.

Acta neurochirurgica Sep 29, 2018
Individualized cerebral perfusion pressure (CPP) targets may be derived via assessing the minimum of the parabolic relationship between an index of cerebrovascular reactivity and CPP. This minimum is termed the optimal CPP (CPPopt), and literature su...
Ultrasonography, Doppler Cerebrovascular Circulation Humans Brain Injuries, Traumatic Robotics
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