Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning
master's thesis by Christine Allen, Computer Science & Engineering, University of Washington, 2020
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Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning
Summary
Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning is a master's thesis[1].
Key Facts
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning authored Christine Allen[2].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's instance of is recorded as master's thesis[3].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's OCLC number is recorded as 1193325032[4].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's language of work or name is recorded as English[5].
- +2020-00-00T00:00:00Z marks the founding of Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning[6].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's work available at URL is recorded as http://hdl.handle.net/1773/45774[7].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+39'}[8].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+5'}[9].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's Handle ID is recorded as 1773/45774[10].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's title is recorded as Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning[11].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's thesis submitted to is recorded as University of Washington[12].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
- Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's thesis committee member is recorded as Ankur Teredesai[14].
Body
Designation and Status
Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning's instance of is recorded as master's thesis[3].
History and Context
+2020-00-00T00:00:00Z marks the founding of Interpretable Data Phenotyping for Healthcare Via Unsupervised Learning[6].