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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)
Last data update: May 18, 2024
. (Total: 63881 Documents since 2012)
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A machine learning-based risk score for prediction of infective endocarditis among patients with Staphylococcus aureus bacteraemia - The SABIER score.
Christopher Koon-Chi Lai et al. J Infect Dis 2024
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Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.
Xiting Lin et al. PLoS One 2023 18(9) e0290375
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Prediction of ciprofloxacin resistance in hospitalized patients using machine learning.
Igor Mintz et al. Communications medicine 2023 3(1) 43
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Clinical Prediction Tools for Identifying Antimicrobial Resistant Organism (ARO) Carriage on Hospital Admissions: A Systematic Review.
Jeon David et al. The Journal of hospital infection 2023
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Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records.
Goodman-Meza David et al. Open forum infectious diseases 2022 9(9) ofac471
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A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.
Çaglayan Çaglar et al. Frontiers in public health 2022 10853757
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Comparison of an Automated Plate Assessment System (APAS Independence) and Artificial Intelligence (AI) to Manual Plate Reading of Methicillin-resistant and Methicillin-susceptible Staphylococcus aureus Chromagar Surveillance Cultures.
Gammel Natalie et al. Journal of clinical microbiology 2021 JCM0097121
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Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.
Lind Margaret L et al. JAMA network open 2021 4(4) e214514
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Analysis of multidrug resistance in Staphylococcus aureus with a machine learning generated antibiogram.
Cazer Casey L et al. Antimicrobial agents and chemotherapy 2021 Jan
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Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.
Hyun Jason C et al. PLoS computational biology 2020 16(3) e1007608
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 18, 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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