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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)
Last data update: May 16, 2024
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The effect of machine learning algorithms in the prediction, and diagnosis of meningitis: A systematic review.
Kosar Ghaddaripouri et al. Health Sci Rep 2024 7(2) e1893
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Development and validation of an artificial intelligence model for the early classification of the aetiology of meningitis and encephalitis: a retrospective observational study
BK Choi et al, Ebiomedicine, July 2023
Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants.
Yaeger Jeffrey P et al. Journal of hospital medicine 2022
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Refinement and Validation of a Clinical-Based Approach to Evaluate Young Febrile Infants.
Yaeger Jeffrey P et al. Hospital pediatrics 2022
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Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.
Idicula-Thomas Susan et al. BMC public health 2021 21(1) 1787
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Ability of Procalcitonin and C-Reactive Protein for Discriminating between Bacterial and Enteroviral Meningitis in Children Using Decision Tree.
Babenko Dmitriy et al. BioMed research international 2021 20215519436
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Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.
Savin Ivan et al. Journal of critical care 2018 4595-104
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 16, 2024
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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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