Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV-Reference-Cited by-同舟云学术

Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV

Published:2021-12-15 Issue:5 Volume:88 Page:439-447
ISSN:1525-4135
Container-title:JAIDS Journal of Acquired Immune Deficiency Syndromes
language:en
Short-container-title:

Author:

Murnane Pamela M.,Ayieko James,Vittinghoff Eric,Gandhi Monica,Katumbi Chaplain,Milala Beteniko,Nakaye Catherine,Kanda Peter,Moodley Dhayendre,Nyati Mandisa E.,Loftis Amy J.,Fowler Mary G.,Flynn Pat,Currier Judith S.,Cohen Craig R.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Infectious Diseases

Reference39 articles.

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4. Prevention of HIV-1 transmission through breastfeeding: efficacy and safety of maternal antiretroviral therapy versus infant nevirapine prophylaxis for duration of breastfeeding in HIV-1-infected women with high CD4 cell count (IMPAACT PROMISE): a randomized, open-label, clinical trial;Flynn;J Acquir Immune Defic Syndr.,2018

5. Heterosexual HIV-1 transmission after initiation of antiretroviral therapy: a prospective cohort analysis;Donnell;Lancet.,2010

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