Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1472-6947
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases ; volume:20 ; number:1 ; day:14 ; month:7 ; year:2020 ; pages:1-11 ; date:12.2020
BMC medical informatics and decision making ; 20, Heft 1 (14.7.2020), 1-11, 12.2020
- Klassifikation
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Soziale Probleme, Sozialdienste, Versicherungen
- Urheber
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Massi, Michela Carlotta
Ieva, Francesca
Lettieri, Emanuele
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12911-020-01143-9
- URN
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urn:nbn:de:101:1-2020091020513983781035
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.20252025, 10:05 MESZ
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Beteiligte
- Massi, Michela Carlotta
- Ieva, Francesca
- Lettieri, Emanuele
- SpringerLink (Online service)
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