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Semantic visualization of patient information

Zillner, Sonja; Hauer, Tam�s; Rogulin, Dmitry; Tsymbal, Alexey; Huber, Martin; Solomonides, Tony

Authors

Sonja Zillner

Tam�s Hauer

Dmitry Rogulin

Alexey Tsymbal

Martin Huber

Tony Solomonides



Abstract

Clinical practice and research rely increasingly on analytic approaches to patient data. Visualization enables the comparative exploration of similar patients, a key requirement in certain clinical decision support systems. Patient data is complex and heterogeneous, may have different formats, reside in various structures and carry different semantics. This makes the comparison and analysis of clinical data a challenging task. Most medical applications visualize patient data without integrating additional semantic information to structure the analysis. Our objective is to map patient data onto relevant fragments of ontologies and inferred ontological structures as a basis for improved patient data visualization, comparison, and analysis. Two visualization scenarios that we have implemented using the patient data acquired in the Health-e-Child project will be presented and their clinical evaluation will be provided. © 2008 IEEE.

Citation

Zillner, S., Hauer, T., Rogulin, D., Tsymbal, A., Huber, M., & Solomonides, T. (2008). Semantic visualization of patient information. https://doi.org/10.1109/CBMS.2008.11

Journal Article Type Conference Paper
Publication Date Sep 22, 2008
Journal Proceedings - IEEE Symposium on Computer-Based Medical Systems
Print ISSN 1063-7125
Peer Reviewed Peer Reviewed
Pages 296-301
DOI https://doi.org/10.1109/CBMS.2008.11
Keywords data visualisation, decision support systems, medical information systems, ontologies, artificial intelligence, patient care, health-e-child project, clinical decision support systems, clinical evaluation, ontologies, patient data visualization, patient i
Public URL https://uwe-repository.worktribe.com/output/1022869
Publisher URL http://dx.doi.org/10.1109/CBMS.2008.11




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