智能大数据可视化实验室
Intelligent Big Data Visualization Lab (iDVx)
HEALTH INFORMATICS
Visual analytics in healthcare
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
UPDATES
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Jun 2021
Our paper entitled "A Survey on Visual Analysis of Event Sequence Data" is accepted for publication in IEEE TVCG. -
Jun 2021
Our paper entitled "Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison" is accepted for publication in IEEE TVCG. -
Oct 2020
Zhuochen Jin presented his work “Visual Causality analysis of Event Sequence Data” at IEEE VIS 2020.
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Jul 2020
Our paper entitled “Visual Causality analysis of Event Sequence Data” is accepted by IEEE VAST 2020 and is selected as one of the TVCG journal special issue (SI) papers.
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Jul 2019
Our paper entitled "CarePre: An Intelligent Clinical Decision Assistance System" is accepted for publication in ACM Transactions on Computing for Healthcare.
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
Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao
A Survey on Visual Analysis of Event Sequence Data
IEEE Transactions on Visualization and Computer Graphics
paper
Shunan Guo, Zhuochen Jin, Qing Chen, Hongyuan Zha, David Gotz, Nan Cao
Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison
IEEE Transactions on Visualization and Computer Graphics
paper
Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Visual Causality Analysis of Event Sequence Data
IEEE Transactions on Visualization and Computer Graphics (IEEE VAST2020)
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 Transactions on Visualization and Computer Graphics (IEEE VAST2019)
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
In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (SIGCHI2018) (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 Transactions on Visualization and Computer Graphics (IEEE VAST2018)
paper | video
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
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