Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.

Abstract

Authors

• W Scott Comulada
  From the Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
• Mary Jane Rotheram-Borus
  From the Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
• Elizabeth Mayfield Arnold
  College of Medicine, University of Kentucky, Lexington, KY.
• Peter Norwood
  From the Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
• Sung-Jae Lee
  From the Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
• Manuel A Ocasio
  Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA.
• Risa Flynn
  Los Angeles LGBT Center.
• Karin Nielsen-Saines
  University of California, David Geffen School of Medicine, Los Angeles, CA, 90095, USA.
• Robert Bolan
  Los Angeles LGBT Center.
• Jeffrey D Klausner
  Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
• Dallas Swendeman
  From the Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.

Keywords

External Resources