Topic modelling for medical prescription fraud and abuse detection.

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Bibliographic Details
Title: Topic modelling for medical prescription fraud and abuse detection.
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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  Data: Topic modelling for medical prescription fraud and abuse detection.
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  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>
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  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
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        Value: 10.1111/rssc.12332
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 751
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      – TitleFull: Topic modelling for medical prescription fraud and abuse detection.
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            NameFull: Zafari, Babak
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              Text: Apr2019
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              Y: 2019
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              Value: 68
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