Topic modelling for medical prescription fraud and abuse detection.
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| Title: | Topic modelling for medical prescription fraud and abuse detection. |
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| Authors: | Zafari, Babak1, bzafari@babson.edu, Ekin, Tahir2 |
| Source: | Journal of the Royal Statistical Society: Series C (Applied Statistics); Apr2019, Vol. 68 Issue 3, p751-769, 19p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 134965734 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Topic modelling for medical prescription fraud and abuse detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zafari%2C+Babak%22">Zafari, Babak</searchLink><relatesTo>1</relatesTo>, <i>bzafari@babson.edu</i><br /><searchLink fieldCode="AU" term="%22Ekin%2C+Tahir%22">Ekin, Tahir</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Royal+Statistical+Society%3A+Series+C+%28Applied+Statistics%29%22">Journal of the Royal Statistical Society: Series C (Applied Statistics)</searchLink>; Apr2019, Vol. 68 Issue 3, p751-769, 19p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=134965734 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/rssc.12332 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 751 Titles: – TitleFull: Topic modelling for medical prescription fraud and abuse detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zafari, Babak – PersonEntity: Name: NameFull: Ekin, Tahir IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 00359254 Numbering: – Type: volume Value: 68 – Type: issue Value: 3 Titles: – TitleFull: Journal of the Royal Statistical Society: Series C (Applied Statistics) Type: main |
| ResultId | 1 |