Artificial intelligence and machine learning based prediction of viral load and CD4 status of people living with HIV (PLWH) on anti-retroviral treatment in Gedeo Zone …
BT Seboka, DE Yehualashet… - International Journal of …, 2023 - Taylor & Francis
Background Despite the success made in scaling up HIV treatment activities, there remains
a tremendous unmet demand for the monitoring of the disease progression and treatment …
a tremendous unmet demand for the monitoring of the disease progression and treatment …
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in …
Background Treatment with effective antiretroviral therapy (ART) reduces viral load as well
as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded …
as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded …
Construction of machine learning models to predict changes in immune function using clinical monitoring indices in HIV/AIDS patients after 9.9-years of antiretroviral …
B Li, M Li, Y Song, X Lu, D Liu, C He… - Frontiers in Cellular …, 2022 - frontiersin.org
Objective To investigate trends in clinical monitoring indices in HIV/AIDS patients receiving
antiretroviral therapy (ART) at baseline and after treatment in Yunnan Province, China and …
antiretroviral therapy (ART) at baseline and after treatment in Yunnan Province, China and …
Predicting CD4 count changes among patients on antiretroviral treatment: Application of data mining techniques
Background and objectives To monitor the progress of therapy and disease progression,
periodic CD4 counts are required throughout the course of HIV/AIDS care and support. The …
periodic CD4 counts are required throughout the course of HIV/AIDS care and support. The …
Predictors of unsuppressed viral load among adults on follow up of antiretroviral therapy at selected public and private health facilities of Adama town: unmached case …
F Jaleta, B Bekele, S Kedir, J Hassan, A Getahun… - BMC Public Health, 2022 - Springer
Background Despite the scale up of antiretroviral therapy (ART), unsuppressed viral load
among population taking ART in private and public health facilities is still a public health …
among population taking ART in private and public health facilities is still a public health …
Prediction of human immunodeficiency virus-1 viral load from CD4 cell count using artificial neural networks
K Kamalanand, PM Jawahar - Journal of Medical Imaging and …, 2015 - ingentaconnect.com
The spread of HIV/AIDS is a global problem today and is considered to be the most severe
health crisis of modern times. In recent years, soft computing techniques such as artificial …
health crisis of modern times. In recent years, soft computing techniques such as artificial …
Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina
Objectives: Ending the HIV epidemic requires innovative use of data for intelligent decision-
making from surveillance through treatment. This study sought to examine the usefulness of …
making from surveillance through treatment. This study sought to examine the usefulness of …
Immunological status and virological suppression among HIV-infected adults on highly active antiretroviral therapy
M Melku, G Abebe, A Teketel, F Asrie, A Yalew… - … Health and Preventive …, 2020 - Springer
Abstract Background World Health Organization (WHO) recommends that viral load ([VL) is
a primary tool that clinicians and researchers have used to monitor patients on antiretroviral …
a primary tool that clinicians and researchers have used to monitor patients on antiretroviral …
Incidence, survival time and associated factors of virological failure among adult HIV/AIDS patients on first line antiretroviral therapy in St. Paul's Hospital Millennium …
DE Andarge, HE Hailu, T Menna - Plos one, 2022 - journals.plos.org
Introduction Human Immune deficiency Virus or Acquired Immune deficiency Syndrome
(HIV/AIDS) is a pandemic affecting millions around the world. The 2020 the Joint United …
(HIV/AIDS) is a pandemic affecting millions around the world. The 2020 the Joint United …
Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol
Background Given the importance of viral suppression in ending the HIV epidemic in the US
and elsewhere, an optimal predictive model of viral status can help clinicians identify those …
and elsewhere, an optimal predictive model of viral status can help clinicians identify those …