Exploring Visual Analytics in the Workplace: A Case Study with the Calgary Epilepsy Program
atmire.migration.oldid | 3957 | |
dc.contributor.advisor | Maurer, Frank | |
dc.contributor.author | Paredes, Julia | |
dc.contributor.committeemember | Wiebe, Samuel | |
dc.contributor.committeemember | Engbers, Jordan | |
dc.date.accessioned | 2015-12-22T21:16:29Z | |
dc.date.available | 2015-12-22T21:16:29Z | |
dc.date.issued | 2015-12-22 | |
dc.date.submitted | 2015 | en |
dc.description.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. | en_US |
dc.identifier.citation | Paredes, J. (2015). Exploring Visual Analytics in the Workplace: A Case Study with the Calgary Epilepsy Program (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26126 | en_US |
dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26126 | |
dc.identifier.uri | http://hdl.handle.net/11023/2702 | |
dc.language.iso | eng | |
dc.publisher.faculty | Graduate Studies | |
dc.publisher.institution | University of Calgary | en |
dc.publisher.place | Calgary | en |
dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
dc.subject | Computer Science | |
dc.subject.classification | Health Informatics | en_US |
dc.subject.classification | Visual Analytics | en_US |
dc.subject.classification | Data Mining | en_US |
dc.subject.classification | Epilepsy | en_US |
dc.title | Exploring Visual Analytics in the Workplace: A Case Study with the Calgary Epilepsy Program | |
dc.type | master thesis | |
thesis.degree.discipline | Computer Science | |
thesis.degree.grantor | University of Calgary | |
thesis.degree.name | Master of Science (MSc) | |
ucalgary.item.requestcopy | true |