HEALTH INFORMATICS

Visual analytics in healthcare

SUMMARY

This project page demonstrates research under three categories:
 • Visual analytics techniques of general event sequence data that are motivated by the use cases of analyzing electronic health records. Our most recent research focuses on addressing typical analytical tasks in health informatics, such as summarizing clinical pathways, identifying disease progression stages, and extracting medical event causality.
 • Clinical decision support systems that are specifically developed for disease prediction, treatment planning, and anomalous electrocardiogram(ECG) signal detection.
 • Techniques that are broadly related to visual clustering analysis, text corpora visualization, and interactive data selection that can be applied to general medical use cases such as cohort filtering, cohort clustering, and medical text analysis.
Keywords: Electronic Health Records, Event Sequences, Clinical Decision Support

APPLICATIONS

Carepre

An Intelligent Clinical Decision Assistance System

Try it

UPDATES

VIDEOS

Visual Causality Analysis of Event Sequence Data

CarePre: An Intelligent Clinical Decision Assistance System

Visual Progression Analysis of Event Sequence Data

ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection

Adaptive Contextualization: Combating Bias During High-Dimensional Visualization and Data Selection

SolarMap: Multifaceted Visual Analytics for Topic Exploration

DICON : Interactive Visual Analysis of Multidimensional Clusters

FacetAtlas: Multifacet Visualization for Rich Text Corpora

PUBLICATIONS

Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Visual Causality Analysis of Event Sequence Data
TVCG

paper | video | presentation

Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, and Nan Cao
CarePre: An Intelligent Clinical Decision Assistance System
ACM Transactions on Computing for Healthcare

paper | video | demo

Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao
Visual Progression Analysis of Event Sequence Data
IEEE VAST 2018, IEEE TVCG 2019

paper | video | slides

Ke Xu, Shunan Guo, Nan Cao, David Gotz, Aiwen Xu, Huamin Qu, Zhenjie Yao, Yixin Chen
ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection
ACM SIGCHI (Honorable Mention)

paper | video

Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao
EventThread: Visual Summarization and Stage Analysis of Event Sequence Data
IEEE TVCG

paper

David Gotz, Shun Sun, Nan Cao
Adaptive Contextualization: Combating Bias During High-Dimensional Visualization and Data Selection
ACM IUI 2016 (Best Paper)

paper | video


Nan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, and Huamin Qu
SolarMap: Multifaceted Visual Analytics for Topic Exploration
IEEE ICDM 2011

paper| video | ppt

Nan Cao,David Gotz, Jimeng Sun, and Huamin Qu
DICON : Interactive Visual Analysis of Multidimensional Clusters
IEEE InfoVis 2011

paper | video | ppt | online demo

Nan Cao, Jimeng Sun, Yu-Ru Lin, David Gotz, Shixia Liu, and Huamin Qu
FacetAtlas: Multifacet Visualization for Rich Text Corpora
IEEE InfoVis 2010

paper| video | ppt

PARTICIPANTS

Shunan Guo (郭姝男)

PhD Student
Period of Participation:
2016-2020

Zhuochen Jin (金卓宸)

PhD Student
Period of Participation:
2018-2020

Nan Chen (陈楠)

Master Student
Period of Participation:
2020-2020

Shuyuan Cui (崔书源)

Master Student
Period of Participation:
2018-2019

Ke Xu (徐科)

Visiting PhD Student
Period of Participation:
2016-2017

Rongwen Zhao (赵荣文)

Research Assistant
Period of Participation:
2016-2017