AIMC Topic: Brain Injuries, Traumatic

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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...
Humans Mice Brain Injuries, Traumatic Mice, Inbred C57BL MicroRNAs Receptors, AMPA Machine Learning Biomarkers Animals Male Extracellular Vesicles
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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...
Brain Injuries, Traumatic Models, Statistical Colonic Neoplasms Biometry Humans Machine Learning ROC Curve Support Vector Machine
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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 Male Patient Selection Blood Transfusion Risk Assessment Survival Analysis Brain Injuries, Traumatic Adolescent Hemorrhage Humans Predictive Value of Tests Time Factors Injury Severity Score Retrospective Studies Registries Child, Preschool 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).
Aged, 80 and over Young Adult Adult Male Middle Aged Neural Networks, Computer Machine Learning Female Aged Taiwan Predictive Value of Tests Humans Bayes Theorem ROC Curve Abbreviated Injury Scale Logistic Models Support Vector Machine Brain Injuries, Traumatic Decision Trees
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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...
Tomography, X-Ray Computed Female Sensitivity and Specificity Male Adolescent Humans Neural Networks, Computer Child Algorithms Brain Injuries, Traumatic Predictive Value of Tests Area Under Curve False Positive Reactions
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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 Brain Injuries, Traumatic Robotics Psychomotor Performance Cues Neuropsychological Tests Aged Young Adult Adult Male Middle Aged Social Perception Mentalization Judgment Social Environment Interpersonal Relations Fixation, Ocular
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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...
Robotics Ultrasonography, Doppler Cerebrovascular Circulation Humans Brain Injuries, Traumatic
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Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

PloS one Jul 12, 2018
Over the past few decades, the rise of multiple chronic conditions has become a major concern for clinicians. However, it is still not known precisely how multiple chronic conditions emerge among patients. We propose an unsupervised multi-level tempo...
Bayes Theorem Veterans Back Pain Depression Adolescent Stress Disorders, Post-Traumatic Brain Injuries, Traumatic Humans Unsupervised Machine Learning Female Male Middle Aged Comorbidity
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Critical Care False Positive Reactions Diagnosis, Computer-Assisted Pilot Projects Adolescent Brain Injuries, Traumatic Brain Injuries Area Under Curve Sample Size Bayes Theorem Humans Signal Processing, Computer-Assisted Hypotension Neural Networks, Computer Young Adult Machine Learning Adult Software Sensitivity and Specificity Databases, Factual Male Prospective Studies Middle Aged Intensive Care Units Female Aged Aged, 80 and over
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Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

Journal of biomedical informatics Apr 9, 2018
PURPOSE: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an ext...
Humans Medical Records Systems, Computerized Software Liver Function Tests Algorithms Acetaminophen Language Out-of-Hospital Cardiac Arrest Fever Data Science Programming Languages Brain Injuries, Traumatic User-Computer Interface Data Collection Liver Time Factors Medical Informatics Natural Language Processing Body Temperature Internet
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