Traumatic Brain Injury
What's New
Last Posted: Apr 15, 2022
- Leveraging Continuous Vital Sign Measurements for Real-Time Assessment of Autonomic Nervous System Dysfunction After Brain Injury: A Narrative Review of Current and Future Applications.
Podell Jamie et al. Neurocritical care 2022 - Predicting Outcome of Traumatic Brain Injury: Is Machine Learning the Best Way?
Bruschetta Roberta et al. Biomedicines 2022 10(3) - Evaluation of Machine Learning Techniques to Predict the Likelihood of Mental Health Conditions Following a First mTBI.
Dabek Filip et al. Frontiers in neurology 2022 12769819 - Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.
Vishwanath Manoj et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 20216134-6137 - Objective evaluation of the risk of falls in individuals with traumatic brain injury: feasibility and preliminary validation.
Pilkar Rakesh et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 20214658-4661 - Big Data in the Clinical Neurosciences.
Brusko G Damian et al. Acta neurochirurgica. Supplement 2021 134271-276 - Clinical decision support for severe trauma patients : Machine Learning based definition of a bundle of care for Hemorrhagic Shock and Traumatic Brain Injury.
Lang E et al. The journal of trauma and acute care surgery 2021 - Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology.
Fiani Brian et al. Reviews in the neurosciences 2021 - Potential for improved retention rate by personalized antiseizure medication selection: A register-based analysis.
Håkansson Samuel et al. Epilepsia 2021 - The detection of mild traumatic brain injury in paediatrics using artificial neural networks.
Ellethy Hanem et al. Computers in biology and medicine 2021 135104614
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About ND PHGKB
Neurological Disorders (ND) PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to neurological disorders....more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Oct 1, 2021
- Page last updated:Jul 06, 2022
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