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

Conclusions: Using routinely collected data to predict viremia in>1300 postpartum women with HIV, we achieved moderate model discrimination, but insufficient to inform targeted adherence support. Psychosocial characteristics or objective adherence metrics may be required for improved prediction of viremia in this population.
Source: JAIDS Journal of Acquired Immune Deficiency Syndromes - Category: Infectious Diseases Tags: Epidemiology Source Type: research