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Exploring Visual Analytics in the Workplace: A Case Study with the Calgary Epilepsy Program

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Graduate Thesis (6.372Mb)
Advisor
Maurer, Frank
Author
Paredes, Julia
Committee Member
Wiebe, Samuel
Engbers, Jordan
Accessioned
2015-12-22T21:16:29Z
Available
2015-12-22T21:16:29Z
Issued
2015-12-22
Submitted
2015
Other
Health Informatics
Visual Analytics
Data Mining
Epilepsy
Subject
Computer Science
Type
Thesis
Metadata
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Abstract
Visual data mining tools integrate machine learning, information visualization, and human pattern recognition capabilities for effective data exploration and analysis. When data is large and high dimensional, humans cannot easily derive conclusions from it, which means data must often be reduced and abstracted. Generally, domain experts are not involved in data abstraction steps and are not informed of the resulting information loss, which can affect informed decision-making. To evaluate how useful it is to involve domain experts and their knowledge in data abstraction steps, which are required to understand and visualize information, we conducted a case study with the Calgary Epilepsy Program. We designed CEP-Vis, a patient centric visual analytics tool, using a user-centered approach to allow clinicians to compare a patient to other patients with epilepsy. We evaluated CEP-Vis through usability studies and interviews and presented the results and challenges of integrating this tool in a real work setting.
Corporate
University of Calgary
Faculty
Graduate Studies
Doi
http://dx.doi.org/10.5072/PRISM/26126
Uri
http://hdl.handle.net/11023/2702
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