Validation and Improvement of a Machine Learning Model to Predict Interruptions in Antiretroviral Treatment in South Africa-Reference-Cited by-同舟云学术

Validation and Improvement of a Machine Learning Model to Predict Interruptions in Antiretroviral Treatment in South Africa

Published:2023-01-01 Issue:1 Volume:92 Page:42-49
ISSN:1525-4135
Container-title:JAIDS Journal of Acquired Immune Deficiency Syndromes
language:en
Short-container-title:

Author:

Esra Rachel,Carstens Jacques,Le Roux Sue,Mabuto Tonderai,Eisenstein Michael,Keiser Olivia,Orel Erol,Merzouki Aziza,De Voux Lucien,Maskew Mhari,Sharpey-Schafer Kieran

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Infectious Diseases

Reference24 articles.

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2. Influence of evolving HIV treatment guidance on CD4 counts and viral load monitoring: a mixed-methods study in three African countries;Renju;Glob Public Health,2021

3. Retention of adult patients on antiretroviral therapy in low- and middle-income countries: systematic review and Meta- analysis 2008–2013;Fox;J Acquir Immune Defic Syndr.,2015

4. Retention and mortality on antiretroviral therapy in sub-Saharan Africa: Collaborative analyses of HIV treatment programmes: Collaborative;Haas;J Int AIDS Soc.,2018

5. Estimating retention in HIV care accounting for patient transfers: a national laboratory cohort study in South Africa;Fox;Plos Med.,2018

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