AIMC Topic: 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...
Veterans Back Pain Stress Disorders, Post-Traumatic Brain Injuries, Traumatic Unsupervised Machine Learning Bayes Theorem Middle Aged Comorbidity Depression Adolescent Humans Female Male
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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...
Middle Aged Diagnosis, Computer-Assisted Pilot Projects Adolescent Young Adult Adult Machine Learning Sensitivity and Specificity Software Male Databases, Factual Prospective Studies Bayes Theorem Intensive Care Units Signal Processing, Computer-Assisted Female Humans Hypotension Aged Neural Networks, Computer Critical Care Aged, 80 and over False Positive Reactions Brain Injuries, Traumatic Brain Injuries Area Under Curve Sample Size
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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...
Software Algorithms Language Data Science Humans Natural Language Processing Internet Fever Programming Languages Data Collection User-Computer Interface Time Factors Brain Injuries, Traumatic Liver Medical Informatics Acetaminophen Body Temperature Out-of-Hospital Cardiac Arrest Medical Records Systems, Computerized Liver Function Tests
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Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks.

Brain and cognition Mar 26, 2018
The accurate diagnosis and assessment of neurodegenerative disease and traumatic brain injuries (TBI) remain open challenges. Both cause cognitive and functional deficits due to focal axonal swellings (FAS), but it is difficult to deliver a prognosis...
Neurodegenerative Diseases Neurons Cognition Disorders Humans Neural Networks, Computer Brain Cognition Brain Injuries, Traumatic Models, Neurological
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Therapeutic hypothermia in patients with coagulopathy following severe traumatic brain injury.

Scandinavian journal of trauma, resuscitation and emergency medicine Dec 20, 2017
BACKGROUND: Coagulopathy in traumatic brain injury (TBI) has been associated with poor neurological outcomes and higher in-hospital mortality. In general principle of trauma management, hypothermia should be prevented as it directly worsens coagulopa...
Blood Coagulation Male Humans Blood Coagulation Disorders Hypothermia, Induced Middle Aged Female Blood Coagulation Tests Partial Thromboplastin Time Hospital Mortality Aged Glasgow Outcome Scale Brain Injuries, Traumatic Adult
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Robotics in Biomedical and Healthcare Engineering.

Journal of healthcare engineering Aug 28, 2017
Humans Brain Injuries, Traumatic Robotics Multiple Sclerosis Stroke Rehabilitation Biomedical Engineering
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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

Medical image analysis Oct 29, 2016
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation. The devised architecture is the result of an in-depth analysis of the limitations of current networks pro...
Sensitivity and Specificity Humans Brain Neoplasms Neural Networks, Computer Brain Injuries, Traumatic Brain Brain Ischemia Reproducibility of Results
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A machine learning approach to identify functional biomarkers in human prefrontal cortex for individuals with traumatic brain injury using functional near-infrared spectroscopy.

Brain and behavior Aug 24, 2016
BACKGROUND: We have explored the potential prefrontal hemodynamic biomarkers to characterize subjects with Traumatic Brain Injury (TBI) by employing the multivariate machine learning approach and introducing a novel task-related hemodynamic response ...
Hemodynamics Brain Injuries, Traumatic Male Case-Control Studies Spectroscopy, Near-Infrared Prefrontal Cortex Machine Learning Biomarkers Female Adult Humans
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Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. A Hybrid Method of Decision Tree and Neural Network.

Methods of information in medicine Aug 5, 2016
BACKGROUND: Generally, traumatic brain injury (TBI) patients do not have a stable condition, particularly after the first week of TBI. Hence, indicating the attributes in prognosis through a prediction model is of utmost importance since it helps car...
Prognosis Aged Adult Middle Aged Humans Models, Theoretical Neural Networks, Computer Brain Injuries, Traumatic Decision Trees Glasgow Outcome Scale
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Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.

NeuroImage Jan 28, 2016
Identifying diffuse axonal injury (DAI) in patients with traumatic brain injury (TBI) presenting with normal appearing radiological MRI presents a significant challenge. Neuroimaging methods such as diffusion MRI and probabilistic tractography, which...
Brain Injuries, Traumatic Image Interpretation, Computer-Assisted White Matter Humans Connectome Neural Pathways Machine Learning Female Diffusion Tensor Imaging Adult Diffuse Axonal Injury Male Middle Aged
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