Skip to main content
IDWeek 2023 Main banner
Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Presentation Icons
Live Streamed
Live Streamed
On Demand
On Demand
Back

244. Sexually Transmitted Infections: Saturday, 12:15 - 1:30 p.m.

Poster Session: Sexually Transmitted Infections

(2660) Evaluating Risk for Bacterial Vaginosis Utilizing an Unsupervised Machine Learning Approach

Saturday, October 14, 2023
12:15 PM – 1:30 PM US ET
Location: Hall B + C

    Co-Author(s)

  • VR

    Violeta Rodriguez, MSED, MS

    University of Miami Miller School Of Medicine
    Chicago, Illinois, United States

  • YP

    Yue Pan, PhD

    University of Miami Miller School Of Medicine
    Miami, Florida, United States

    • Presenting Author(s)

  • Ana S. Salazar, MD (she/her/hers)

    Internal Medicine Resident
    University of Miami Miller School Of Medicine
    Miami, Florida, United States

    • Co-Author(s)

  • Nicholas Fonseca Nogueira, MPH

    Research Data Manager
    Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine
    Parkland, Florida, United States

  • PR

    Patricia Raccamarich, MD

    Project Manager
    Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine
    Miami, Florida, United States

  • NK

    Nichole R. Klatt, PhD

    University of Minnesota Medical School
    Minneapolis, Minnesota, United States

  • DJ

    Deborah Jones Weiss, PhD

    Professor
    University of Miami Miller School of Medicine
    Miami, Florida, United States

    • Co-Author(s)

  • MA

    Maria L. Alcaide, MD

    Professor
    Division of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine
    Miami, Florida, United States