Title:
Visualizing State-Based Hypertension Progression Models

dc.contributor.author Gupta, Amrita
dc.contributor.author Liu, Yu-Ying
dc.contributor.author Sun, Jimeng
dc.contributor.author Rehg, James M.
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Interactive Computing en_US
dc.date.accessioned 2015-06-17T19:51:20Z
dc.date.available 2015-06-17T19:51:20Z
dc.date.issued 2014-11
dc.description © Copyright retained by the authors. en_US
dc.description.abstract We present a novel interactive visualization scheme for state-based hypertension progression modeling using hidden Markov models, applied to electronic health records of a cohort population enrolled in a hypertension management program. The visualization tool provides an interface for exploratory analysis and model validation, and improves the interpretability of the model results for healthcare researchers. We demonstrate a preliminary application of the visualization to compare states visited and transitions taken by two different subgroups with distinctive hypertension trajectories. en_US
dc.embargo.terms null en_US
dc.identifier.citation A. Gupta, Y.-Y. Liu, J. Sun and J. M. Rehg. "Visualizing State-Based Hypertenstion Progression Models." In IEEE Vis 2014 EHRVIS Workshop, Paris, France. en_US
dc.identifier.uri http://hdl.handle.net/1853/53659
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Continuous-time hidden Markov model en_US
dc.subject Disease progression model en_US
dc.subject Interactive visualization en_US
dc.subject Medical informatics en_US
dc.title Visualizing State-Based Hypertension Progression Models en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Rehg, James M.
local.contributor.author Sun, Jimeng
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isAuthorOfPublication 8b48f6d2-28c9-4413-8148-531f91a7e5f9
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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