Leaf2Tableau: from Clinical Data to Clinical Knowledge Discovery
| dc.contributor.advisor | Mooney, Sean D | |
| dc.contributor.author | Yang, Xiyao | |
| dc.date.accessioned | 2017-08-11T22:46:19Z | |
| dc.date.available | 2017-08-11T22:46:19Z | |
| dc.date.issued | 2017-08-11 | |
| dc.date.submitted | 2017-06 | |
| dc.description | Thesis (Master's)--University of Washington, 2017-06 | |
| dc.description.abstract | Leaf2Tableau, 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.terms | Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Yang_washington_0250O_17185.pdf | |
| dc.identifier.uri | http://hdl.handle.net/1773/39886 | |
| dc.language.iso | en_US | |
| dc.rights | none | |
| dc.subject | ||
| dc.subject | Medicine | |
| dc.subject | Health sciences | |
| dc.subject | Biostatistics | |
| dc.subject.other | To Be Assigned | |
| dc.title | Leaf2Tableau: from Clinical Data to Clinical Knowledge Discovery | |
| dc.type | Thesis |
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