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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Last data update: Apr 21, 2024
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Records 1 - 14 (of 14 Records)
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Automated identification of abnormal infant movements from smart phone videos.
E Passmore et al. PLOS Digit Health 2024 3(2) e0000432
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Evaluation of Informative Content on Cerebral Palsy in the Era of Artificial Intelligence: The Value of ChatGPT.
Ayse Merve Ata et al. Phys Occup Ther Pediatr 2024 1-10
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PredictMed-epilepsy: A multi-agent based system for epilepsy detection and prediction in neuropediatrics.
Carlo M Bertoncelli et al. Comput Methods Programs Biomed 2023 236107548
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Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning.
Helga Haberfehlner et al. Frontiers in robotics and AI 2023 101108114
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A big data approach to evaluate receipt of optimal care in childhood cerebral palsy.
Alexis Mitelpunkt et al. Disability and rehabilitation 2023 1-8
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Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
Groos Daniel et al. JAMA network open 2022 5(7) e2221325
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Prediction of Communication Impairment in Children With Bilateral Cerebral Palsy Using Multivariate Lesion- and Connectome-Based Approaches: Protocol for a Multicenter Prospective Cohort Study.
Hu Jie et al. Frontiers in human neuroscience 2022 16788037
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Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy.
Duran Ibrahim et al. Developmental medicine and child neurology 2021
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Risks of covid-19 hospital admission and death for people with learning disability: population based cohort study using the OpenSAFELY platform.
Williamson Elizabeth J et al. BMJ (Clinical research ed.) 2021 374n1592
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Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With Dystonia.
Shah Syed Ahmar et al. Frontiers in neurology 2020 Aug 11825
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Machine learning models for identifying preterm infants at risk of cerebral hemorrhage.
Turova Varvara et al. PloS one 2020 15(1) e0227419
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Using Artificial Intelligence to Identify Factors Associated with Autism Spectrum Disorder in Adolescents with Cerebral Palsy.
Bertoncelli Carlo M et al. Neuropediatrics 2019 50(3) 178-187
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Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques.
Illavarason P et al. Journal of medical systems 2019 Jul 43(8) 278
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Feasibility of a randomised controlled trial to evaluate home-based virtual reality therapy in children with cerebral palsy.
Farr William J et al. Disability and rehabilitation 2019 May 1-13
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 21, 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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