VACLab-ers present their latest research including the use of counterfactuals to improve inferences from visualizations, population health for COVID-19, and visualization as a behavioral nudge.
The CDC uses visualization to communicate. There's always room for improvement...
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.