Mental health phenotypes of well-controlled HIV in Uganda.

Journal: Frontiers in public health
PMID:

Abstract

INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH) in Uganda and worldwide are heterogeneous. Accordingly, there has been a shift toward identifying MH phenotypes using data-driven methods capable of identifying novel insights into mechanisms of divergent MH phenotypes among PWH. We leverage the analytic strengths of machine learning combined with inferential methods to identify novel MH phenotypes among PWH and the underlying explanatory features.

Authors

  • Leah H Rubin
    Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Kyu Cho
    Missouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
  • Jacob Bolzenius
    Missouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
  • Julie Mannarino
    Missouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
  • Rebecca E Easter
    Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Raha M Dastgheyb
    Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Aggrey Anok
    Rakai Health Sciences Program, Kalisizo, Uganda.
  • Stephen Tomusange
    Rakai Health Sciences Program, Kalisizo, Uganda.
  • Deanna Saylor
    Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Maria J Wawer
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Noeline Nakasujja
    Department of Psychiatry, Makerere University, Kampala, Uganda.
  • Gertrude Nakigozi
    Rakai Health Sciences Program, Kalisizo, Uganda.
  • Robert Paul
    Missouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.