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Infectious Disease PHGKB

Specific PHGKB|Infectious Diseases PHGKB|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Effective August 1, 2024, this database was discontinued. All content will remain searchable and be preserved online for historical purposes only until 2029.

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Data mining and machine learning in HIV infection risk research: An overview and recommendations. External Web Site Icon
Qiwei Ge et al. Artif Intell Med 2024 153102887
The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis. External Web Site Icon
Yuefei Li et al. BMC Infect Dis 2024 24(1) 474
The role of community engagement in promoting research participants' understanding of pharmacogenomic research results: Perspectives of stakeholders involved in HIV/AIDS research and treatment. External Web Site Icon
Sylvia Nabukenya et al. PLoS One 2024 19(4) e0299081
Concerted efforts toward genomic surveillance of viral pathogens in immunocompromised individuals. External Web Site Icon
Matheus Filgueira Bezerra et al. Lancet Microbe 2024 4
Machine learning prediction of adolescent HIV testing services in Ethiopia. External Web Site Icon
Melsew Setegn Alie et al. Front Public Health 2024 121341279
A Machine Learning Approach to Predict HIV Viral Load Hotspots in Kenya Using Real-World Data. External Web Site Icon
Nancy Kagendi et al. Health Data Sci 2024 30019
Development of a Machine Learning Modelling Tool for Predicting HIV Incidence Using Public Health Data from a County in the Southern United States. External Web Site Icon
Carlos S Saldana et al. Clin Infect Dis 2024
A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV. External Web Site Icon
Wei Jin et al. Biostatistics 2024
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study. External Web Site Icon
Jialu Li et al. Front Public Health 2024 111282324
Use of a machine learning model to predict retention in care in an urban HIV clinic. External Web Site Icon
Sarah A Schmalzle et al. AIDS 2023 38(1) 125-127

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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch 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.

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