Association of an HIV-Prediction Model with Uptake of Preexposure Prophylaxis.
Global efforts aimed at ending human immunodeficiency virus (HIV) incidence have adapted and evolved since the turn of the century. The utilization of machine learning incorporated into an electronic health record (EHR) can be refined into prediction models that identify when an individual is at greater HIV infection risk. This can create a novel and innovative approach to identifying patients eligible for preventative therapy.This study's aim was to evaluate the [...]
Author(s): Romero, Steven, Alvarez, Kristin S, Nijhawan, Ank E, Nethi, Arun, Bistransin, Katie, King, Helen L
DOI: 10.1055/a-2524-4993