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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jul 03, 2022. (Total: 48007 Documents since 2012)
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Query Trace: Hiv[original query]>>Original Studies[Product Type]
Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages.
Xu Xianglong et al. Scientific reports 2022 12(1) 8757
Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi Minjuan et al. PLoS neglected tropical diseases 2022 16(5) e0010388
Cytomegalovirus Retinitis Screening Using Machine Learning Technology.
Srisuriyajan Pitchapa et al. Retina (Philadelphia, Pa.) 2022
A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.
Xu Xianglong et al. Journal of clinical medicine 2022 11(7)
Machine learning-based predictive models for identifying high active compounds against HIV-1 integrase.
Parvez M K et al. SAR and QSAR in environmental research 2022 1-16
Predictive analytics using machine learning to identify ART clients at health system level at greatest risk of treatment interruption in Mozambique and Nigeria.
Stockman Jeni et al. Journal of acquired immune deficiency syndromes (1999) 2022
Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV.
Dickerman Barbra A et al. European journal of epidemiology 2022
Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol.
Zhang Jiajia et al. BMC infectious diseases 2022 22(1) 122
Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach.
Paul Robert H et al. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology 2022
Utility of a Machine-Guided Tool for Assessing Risk Behavior Associated With Contracting HIV in Three Sites in South Africa: Protocol for an In-Field Evaluation.
Majam Mohammed et al. JMIR research protocols 2021 10(12) e30304
Derivation and external validation of a risk score for predicting HIV-associated tuberculosis to support case finding and preventive therapy scale-up: A cohort study
AF Aud et al, PLOS Medicine, September 7, 2021
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection.
Martinez-Banfi Martha et al. Brain sciences 2021 11(8)
Prospective Newborn Screening for Sickle Cell Disease and Other Inherited Blood Disorders in Central Malawi.
Tegha Gerald et al. International journal of public health 2021 66629338
Diverse experts' perspectives on ethical issues of using machine learning to predict HIV/AIDS risk in sub-Saharan Africa: a modified Delphi study.
Nichol Ariadne A et al. BMJ open 2021 11(7) e052287
Chest X-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: an individual patient data meta-analysis of diagnostic accuracy.
Tavaziva Gamuchirai et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2021
Community based screening for sickle haemoglobin among pregnant women in Benue State, Nigeria: I-Care-to-Know, a Healthy Beginning Initiative.
Ezenwosu Osita U et al. BMC pregnancy and childbirth 2021 21(1) 498
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa.
Fehr Jana et al. NPJ digital medicine 2021 4(1) 106
Association of medically assisted reproduction with offspring cord blood DNA methylation across cohorts.
Caramaschi Doretta et al. Human reproduction (Oxford, England) 2021
Deep learning of HIV field-based rapid tests
V Turbe et al, Nature Medicine, June 18, 2021
Pharmacogenetic Associations Between Atazanavir/UGT1A1*28 and Efavirenz/rs3745274 (CYP2B6) Account for Specific Adverse Reactions in Chilean Patients Undergoing Antiretroviral Therapy.
Poblete Daniela et al. Frontiers in pharmacology 2021 12660965
How to Identify Potential Candidates for HIV Pre-Exposure Prophylaxis: An AI Algorithm Reusing Real-World Hospital Data.
Duthe Jean-Charles et al. Studies in health technology and informatics 2021 281714-718
Predictive variables for peripheral neuropathy in treated HIV-1 infection revealed by machine learning.
Tu Wei et al. AIDS (London, England) 2021
A comparison of covariate selection techniques applied to pre-exposure prophylaxis (PrEP) drug concentration data in men and transgender women at risk for HIV.
Peterson Skyler et al. Journal of pharmacokinetics and pharmacodynamics 2021
Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.
Comulada W Scott et al. Prevention science : the official journal of the Society for Prevention Research 2021
Genomic landscape of primary and recurrent anal squamous cell carcinomas in relation to HPV integration, copy number variation, and DNA damage response genes.
Aldersley Jordan et al. Molecular cancer research : MCR 2021
Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina.
Olatosi Bankole et al. AIDS (London, England) 2021 35(Suppl 1) S19-S28
Applying a machine learning modelling framework to predict delayed linkage to care in patients newly diagnosed with HIV in Mecklenburg County, North Carolina, USA.
Chen Shi et al. AIDS (London, England) 2021 35(Suppl 1) S29-S38
Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach.
Yang Xueying et al. AIDS (London, England) 2021 35(Suppl 1) S39-S51
Adolescent HIV-related behavioural prediction using machine learning: a foundation for precision HIV prevention.
Wang Bo et al. AIDS (London, England) 2021 35(Suppl 1) S75-S84
Building a social media-based HIV risk behavior index to inform the prediction of HIV new diagnosis: a feasibility study.
Li Zhenlong et al. AIDS (London, England) 2021 35(Suppl 1) S91-S99
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