Machine learning to predict virological failure among HIV patients on antiretroviral therapy...

[HTML][HTML] Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review

M Jaiteh, E Phalane, YA Shiferaw, KA Voet… - Algorithms, 2024 - mdpi.com

Several machine learning (ML) techniques have demonstrated efficacy in precisely
forecasting HIV risk and identifying the most eligible individuals for HIV testing in various …

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[HTML][HTML] Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes

R Morales-Sánchez, S Montalvo, A Riaño… - Computers in Biology …, 2024 - Elsevier

Undiagnosed and untreated human immunodeficiency virus (HIV) infection increases
morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing …

Machine learning models based on fluid immunoproteins that predict non-AIDS adverse events in people with HIV

TA Premeaux, S Bowler, CM Friday, CB Moser… - Iscience, 2024 - cell.com

Despite the success of antiretroviral therapy (ART), individuals with HIV remain at risk for
experiencing non-AIDS adverse events (NAEs), including cardiovascular complications and …

Machine learning algorithm to predict determinants of home delivery after ANC visit among reproductive age women in East Africa: Using SHAP

AD Walle, SD Kebede, JB Adem, Z Gebreegziabher… - 2024 - researchsquare.com

Background: Home birth is described as a delivery that takes place at home without the
presence of a skilled birth attendant. Home delivery after ANC visit is a major public health …

[PDF][PDF] РАЗРАБОТКА МОДЕЛИ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ПРОГНОЗИРОВАНИЯ ЧИСЛА ВПЕРВЫЕ ВЫЯВЛЕННЫХ ПАЦИЕНТОВ С ВИЧ ИНФЕКЦИЕЙ В …

МЮ КОТЛОВСКИЙ, ЭБ ЦЫБИКОВА, СМ ЛОРСАНОВ… - vit-j.ru

Цель: разработать модель прогнозирования числа впервые выявленных пациентов с
ВИЧ-инфекцией в субъектах Российской Федерации с использованием методов …