Leaf2Tableau: from Clinical Data to Clinical Knowledge Discovery

dc.contributor.advisorMooney, Sean D
dc.contributor.authorYang, Xiyao
dc.date.accessioned2017-08-11T22:46:19Z
dc.date.available2017-08-11T22:46:19Z
dc.date.issued2017-08-11
dc.date.submitted2017-06
dc.descriptionThesis (Master's)--University of Washington, 2017-06
dc.description.abstractLeaf2Tableau, a self-service and real-time clinical data visualization pipeline, is designed and developed to handle data visualization requests for queries developed in Leaf, a clinical data explorer developed by University of Washington Medicine Information Technology Services. It can extract and visualize any Leaf datasets into a portable format that researchers can easily explore without needing a highly technical or statistical background, providing a quick visual summary of the target population. This completes a clinical data warehouse (CDW) self-service model with a researcher constructing a query to identify a specific patient cohort in Leaf and subsequently developing custom visualizations for exploration or publication, as well as receiving data files for analysis.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherYang_washington_0250O_17185.pdf
dc.identifier.urihttp://hdl.handle.net/1773/39886
dc.language.isoen_US
dc.rightsnone
dc.subject
dc.subjectMedicine
dc.subjectHealth sciences
dc.subjectBiostatistics
dc.subject.otherTo Be Assigned
dc.titleLeaf2Tableau: from Clinical Data to Clinical Knowledge Discovery
dc.typeThesis

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