Routine Antiretroviral Pharmacy Refill Information Can Predict Failure Postpartum in Previously Suppressed South African Women With HIV.

Nicola GawlerSteven J ReynoldsNei-Yuan HsiaoWilliam ClarkeGary MaartensElaine J AbramsLandon MyerAndrew D ReddTamsin K Phillips

Published in: Open forum infectious diseases (2022)

These data show that routine pharmacy data can act as a highly predictive mechanism for identifying patients at risk of VNS and VF due to nonadherence.

Keyphrases

hiv infected
hiv positive
human immunodeficiency virus
electronic health record
antiretroviral therapy
hiv aids
clinical practice
big data
hepatitis c virus
hiv infected patients
healthcare
data analysis
south africa
machine learning
social media
deep learning