15th Annual Workshop on Visual Analytics in Healthcare (VAHC 2024)

Presentation Time: 08:30 AM - 12:00 PM

Abstract Keywords: Information Visualization, Human-computer Interaction, Evaluation, Fairness and Elimination of Bias
Working Group: Visual Analytics Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics

The combination of interactive visual displays and statistical and/or machine learning analyses can be powerful tools for managing the interpretation of large and heterogeneous health and biomedical datasets. Researchers and practitioners in the AMIA community have applied these visual analytics techniques to a range of challenges, building systems for researchers, clinicians, and patients. Since 2013, the Visual Analytics in Healthcare workshop has been a recurring event, providing a venue for exchanging ideas and developing new collaborations. A full-day workshop at AMIA 2024 sponsored by the AMIA Visual Analytics Working Group (VIS-WG) will invite interested individuals at all levels of experience in visual analytics to learn from research paper presentations, rapid “ignite-style” demos, a design challenge, and mini panel discussions regarding topics and challenges in the field.

Speaker(s):
Swaminathan Kandaswamy, PhD
Emory University School of Medicine

Danny Wu, PhD
University of Cincinnati College of Medicine

Victor Lin, MD
United States Navy

Diana Lin, L.Ac, DAOM, MSHI
San Diego

Huan He, Ph.D.
Yale University

Scott Vennemeyer
University of Cincinnati, College of Medicine

Author(s):
Swaminathan Kandaswamy, PhD - Emory University School of Medicine; Huan He, Ph.D. - Yale University; Scott Vennemeyer - University of Cincinnati, College of Medicine; Diana Lin, L.Ac, DAOM, MSHI - San Diego; Victor Lin, MD - United States Navy; Danny Wu, PhD - University of Cincinnati College of Medicine;