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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Neurological Disorders
Last data update: Mar 27, 2024
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Traumatic Brain Injury[original query]>>Original Studies[Product Type]
Deep learning-based multimodality classification of chronic mild traumatic brain injury using resting-state functional MRI and PET imaging.
Faezeh Vedaei et al. Front Neurosci 2024 171333725
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Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study.
Suvd Zulbayar et al. Intell Based Med 2024 8
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Traumatic Brain Injury Rehabilitation Outcome Prediction Using Machine Learning Methods.
Nitin Nikamanth Appiah Balaji et al. Arch Rehabil Res Clin Transl 2024 5(4) 100295
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Automated intracranial hemorrhage detection in traumatic brain injury using 3D CNN.
Deepak Agrawal et al. J Neurosci Rural Pract 2023 14(4) 615-621
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Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients.
Juho Aaltonen et al. Clin Neurophysiol 2023 15379-87
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Prognosis at your fingertips: a machine learning-based web application for outcome prediction in acute traumatic epidural hematoma.
Mert Karabacak et al. J Neurotrauma 2023
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Prediction of intracranial pressure crises after severe traumatic brain injury using machine learning algorithms.
Dmitriy Petrov et al. Journal of neurosurgery 2023 1-8
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Prediction of Mortality Among Patients with Isolated Traumatic Brain Injury Using Machine Learning Models in Asian Countries: An International Multicenter Cohort Study.
Song Juhyun et al. Journal of neurotrauma 2023
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Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury.
Miyagawa Tadashi et al. PloS one 2023 18(1) e0278562
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Alzheimer's disease and related dementias among aging veterans: Examining gene-by-environment interactions with post-traumatic stress disorder and traumatic brain injury.
Logue Mark W et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022
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A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.
Fang Cheng et al. Journal of medical Internet research 2022 24(12) e41819
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An interpretable neural network for outcome prediction in traumatic brain injury.
Minoccheri Cristian et al. BMC medical informatics and decision making 2022 22(1) 203
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Dynamic prediction of mortality after traumatic brain injury using a machine learning algorithm
R Rai et al, NPJ Digital Medicine, July 18, 2022
Using Machine Learning to Examine Suicidal Ideation After TBI: A TBI Model Systems National Database Study.
Fisher Lauren B et al. American journal of physical medicine & rehabilitation 2022
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A Computer-Assisted System for Early Mortality Risk Prediction in Patients with Traumatic Brain Injury Using Artificial Intelligence Algorithms in Emergency Room Triage.
Tu Kuan-Chi et al. Brain sciences 2022 12(5)
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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
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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
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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
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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
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Potential for improved retention rate by personalized antiseizure medication selection: A register-based analysis.
Håkansson Samuel et al. Epilepsia 2021
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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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Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning.
Lee Hack-Jin et al. IEEE journal of biomedical and health informatics 2021 PP
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Predicting need for hospital admission in patients with traumatic brain injury or skull fractures identified on CT imaging: a machine learning approach.
Marincowitz Carl et al. Emergency medicine journal : EMJ 2021
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Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.
Bazarian Jeffrey J et al. JAMA network open 2021 Feb 4(2) e2037349
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Predicting the Individual Treatment Effect of Neurosurgery for TBI Patients in the Low Resource Setting: A Machine Learning Approach in Uganda.
Adil Syed M et al. Journal of neurotrauma 2020 Oct
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Development and Evaluation of Machine Learning Models for Recovery Prediction after Treatment for Traumatic Brain Injury.
Radabaugh Hannah L et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020 Jul 20202416-2420
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Interest of blood biomarkers to predict lesions in medical imaging in the context of mild traumatic brain injury.
Damien Bouvier et al. Clinical biochemistry 2020 Aug
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Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.
Gravesteijn Benjamin Y et al. Journal of clinical epidemiology 2020 Mar
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Unsupervised machine learning reveals novel traumatic brain injury patient phenotypes with distinct acute injury profiles and long-term outcomes.
Folweiler Kaitlin et al. Journal of neurotrauma 2020 Feb
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Association of Acquired and Heritable Factors With Intergenerational Differences in Age at Symptomatic Onset of Alzheimer Disease Between Offspring and Parents With Dementia.
Day Gregory S, et al. JAMA network open 2019 10 0. (10) e1913491
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Page last reviewed:
Feb 1, 2024
Page last updated:
Mar 27, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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