Visualizing HIV Treatment Patterns with Network Models
Will Bridewell,
Wei-Nchih Lee,
Amar K. Das
March, 2011
Abstract
Network visualization of temporal data offers insights into the practical application of treatment guidelines. Using publicly available data on sequential HIV treatments, we apply network models to visualize switches in regimens and to understand when and if guideline-recommended regimens were used.
Publication
In 2011 AMIA Summit on Clinical Research Informatics
Research Scientist in Artificial Intelligence
My research interests include the relationship between attention, cognition, and intentional action.