AIMC Topic: HIV Infections
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Data mining and machine learning in HIV infection risk research: An overview and recommendations.
Artificial intelligence in medicine
Apr 30, 2024
In the contemporary era, the applications of data mining and machine learning have permeated extensively into medical research, significantly contributing to areas such as HIV studies. By reviewing 38 articles published in the past 15 years, the stud...
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.
BMC medical informatics and decision making
Apr 25, 2024
OBJECTIVE: This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs).
A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study.
JMIR public health and surveillance
Apr 24, 2024
BACKGROUND: Sexual health influencers (SHIs) are individuals actively sharing sexual health information with their peers, and they play an important role in promoting HIV care services, including the secondary distribution of HIV self-testing (SD-HIV...
DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction.
PLoS computational biology
Apr 10, 2024
In the midst of an outbreak or sustained epidemic, reliable prediction of transmission risks and patterns of spread is critical to inform public health programs. Projections of transmission growth or decline among specific risk groups can aid in opti...
The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.
AIDS and behavior
Feb 7, 2024
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among racialized PWH, using the U.S. population-sampled National COVID Cohort Collaborative (N3C) data released from January 1, 2020 to October 10, 2022. We d...
Comparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue.
Scientific reports
Jan 23, 2024
The availability of target cells expressing the HIV receptors CD4 and CCR5 in genital tissue is a critical determinant of HIV susceptibility during sexual transmission. Quantification of immune cells in genital tissue is therefore an important outcom...
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.
JMIR medical education
Jan 16, 2024
Large-scale medical data sets are vital for hands-on education in health data science but are often inaccessible due to privacy concerns. Addressing this gap, we developed the Health Gym project, a free and open-source platform designed to generate s...
antibacterial activity of antiretroviral drugs on key commensal bacteria from the human microbiota.
Frontiers in cellular and infection microbiology
Jan 8, 2024
INTRODUCTION: Antiretroviral therapy has improved life expectancy in HIV-infected patients. However, people living with HIV under antiretroviral therapy are at higher risks of developing chronic complications and acquiring multidrug resistant bacteri...
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study.
Frontiers in public health
Jan 5, 2024
OBJECTIVE: The study aimed to use supervised machine learning models to predict the length and risk of prolonged hospitalization in PLWHs to help physicians timely clinical intervention and avoid waste of health resources.
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