Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease
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Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease
Summary
Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease is a master's thesis[1].
Key Facts
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease authored Eric Johnson[2].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's instance of is recorded as master's thesis[3].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's OCLC number is recorded as 875010872[4].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's language of work or name is recorded as English[5].
- +2012-00-00T00:00:00Z marks the founding of Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease[6].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's work available at URL is recorded as http://hdl.handle.net/1773/22596[7].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+30'}[8].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+7'}[9].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's Handle ID is recorded as 1773/22596[10].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's title is recorded as Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease[11].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's thesis submitted to is recorded as University of Washington[12].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
- Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's thesis committee member is recorded as Ankur Teredesai[14].
Body
Designation and Status
Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease's instance of is recorded as master's thesis[3].
History and Context
+2012-00-00T00:00:00Z marks the founding of Healthcare Data Mining Using In-database Analytics to Predict Diagnosis of Inflammatory Bowel Disease[6].