[HTML][HTML] Application of Medical Artificial Intelligence Technology in sub-Saharan Africa: Prospects for Medical Laboratories
The widespread adoption of artificial intelligence (AI) technology globally has brought
significant changes to various sectors. AI-assisted algorithms have notably improved …
significant changes to various sectors. AI-assisted algorithms have notably improved …
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 …
Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model
RT Esra, J Carstens, J Estill, R Stoch… - PLOS Global Public …, 2023 - journals.plos.org
Retention of antiretroviral (ART) patients is a priority for achieving HIV epidemic control in
South Africa. While machine-learning methods are being increasingly utilised to identify high …
South Africa. While machine-learning methods are being increasingly utilised to identify high …
Development and validation of a prediction tool to support engagement in HIV care among young people ages 10–24 years in Kenya
K Wilson, K Agot, J Dyer, J Badia, J Kibugi, R Bosire… - Plos one, 2023 - journals.plos.org
Introduction Loss to follow-up (LTFU) among adolescents and young adults living with HIV
(AYALWH) is a barrier to optimal health and HIV services. We developed and validated a …
(AYALWH) is a barrier to optimal health and HIV services. We developed and validated a …
Validation and improvement of a machine learning model to predict interruptions in antiretroviral treatment in South Africa
R Esra, J Carstens, S Le Roux, T Mabuto… - JAIDS Journal of …, 2023 - journals.lww.com
Study design: RE, JC, KSS, LDV, SL, TM, MM; Data Collection: ME; Data Analysis: RE, JC,
KSS; Data Interpretation: RE, JC, KSS, MM; Supervision: MM; Writing–original draft: RE; …
KSS; Data Interpretation: RE, JC, KSS, MM; Supervision: MM; Writing–original draft: RE; …
Rudi Kundini, Pamoja Kundini (RKPK): study protocol for a hybrid type 1 randomized effectiveness-implementation trial using data science and economic incentive …
JL Kadota, LJ Packel, M Mlowe, N Ulenga, N Mwenda… - Trials, 2024 - Springer
Background Economic incentives can improve clinical outcomes among in-care people
living with HIV (PLHIV), but evidence is limited for their effectiveness among out-of-care …
living with HIV (PLHIV), but evidence is limited for their effectiveness among out-of-care …
Wireless Spatial Analysis-Based Predictive Analysis and Environmental Data Optimisation Using Machine Learning Model
H Zhang - Remote Sensing in Earth Systems Sciences, 2024 - Springer
A significant quantity of sensor data has been used recently to construct a variety of Internet
of Things (IoT)-based methods as well as applications. They have been extensively …
of Things (IoT)-based methods as well as applications. They have been extensively …
[PDF][PDF] STUDY PROTOCOL
JL Kadota, LJ Packel, M Mlowe, N Ulenga… - 2024 - trialsjournal.biomedcentral.com
Background Economic incentives can improve clinical outcomes among in-care people
living with HIV (PLHIV), but evidence is limited for their effectiveness among out-of-care …
living with HIV (PLHIV), but evidence is limited for their effectiveness among out-of-care …
Social determinants of health and interruption in treatment outcomes within Haiti's electronic medical record system for people living with HIV
SI Rao - 2023 - search.proquest.com
Haiti has made significant progress in reducing the national burden of HIV, however patient
retention in care and treatment persists as a key challenge. Low-resource settings are …
retention in care and treatment persists as a key challenge. Low-resource settings are …
[HTML][HTML] Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
MD Ogbechie, C Fischer Walker, MT Lee, A Abba Gana… - JMIR AI, 2023 - ai.jmir.org
Background Antiretroviral therapy (ART) has transformed HIV from a fatal illness to a chronic
disease. Given the high rate of treatment interruptions, HIV programs use a range of …
disease. Given the high rate of treatment interruptions, HIV programs use a range of …