8 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
Bum Chul Kwon, Samuel Friedman, Kai Xu +5
Machine learning models built on training data with multiple modalities can reveal new insights that are not accessible through unimodal datasets. For example, cardiac magnetic res…
Modeling Disease Progression Trajectories from Longitudinal Observational Data
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne +7
Analyzing disease progression patterns can provide useful insights into the disease processes of many chronic conditions. These analyses may help inform recruitment for prevention…
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways
Bum Chul Kwon, Vibha Anand, Kristen A Severson +5
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease pr…
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim +5
We have recently seen many successful applications of recurrent neural networks (RNNs) on electronic medical records (EMRs), which contain histories of patients' diagnoses, medicat…