Bum Chul Kwon

TL;DR: DPVis as discussed by the authors integrates model parameters and outcomes of Hidden Markov Models into interpretable, and interactive visualizations for disease progression models, visually summarizing disease states, interactively exploring disease progression patterns, and designing and comparing clinically relevant subgroup cohorts.

TL;DR: Geono-Cluster is introduced, a novel visual analysis tool designed to support cluster analysis for biologists who do not have formal data science training that enables biologists to apply their domain expertise into clustering results by visually demonstrating how their expected clustering outputs should look like with a small sample of data instances.

TL;DR: Through this review, belief about the discrepancies between healthcare and HCI is reaffirmed, and additional findings helped to offer some suggestions to close the gap.

TL;DR: This study designed a mobile app to support the HHS informed quality-focused dietary approach by enabling users to log simplified diet quality and view its real-time impact on future heart disease risks, and measured the app’s feasibility and efficacy on improving individuals’ clinical and behavioral factors affecting futureHeart disease risks and app use.

TL;DR: An off-screen visualization method called Ambient Grids is presented that strikes the balance between overview and details by preserving the contextual information as color grids within a designated space around the focal area.