A review of state-of-the-art visual analytics approaches, a formalized design space, and open challenges for future work.
Wang et al.'s podium abstract describes an evaluation of medical NLP libraries when applied to patient-reported adverse event reports.
Zhou et al. describe and evaluate a new approach to modeling and leveraging a user's analytic focus during visual analysis tasks.
Visualizing the popular vote by state for the 2020 US Presidential election.
Jin et al. introduce SeqCausal, a visual analytics approach to causal analysis of event sequence data.
A new AMIA Podium Abstract describes a novel way to combat selection bias in retrospective EHR data analyses.
Borland et al. introduce new methods for selection-bias-corrected visualizations.
A new NIH award supports adaptation of Cadence visual analytics technologies to COVID-19-motivated use cases.
A new article in JAMIA highlights the VACLab's rapid response visualization system developed in partnership with NC DHHS.
Serving our state and beyond, VACLab members put research on hold to work on a variety service projects to aid the COVID-19 response.