Provider Fraud Detection
Provider Fraud Detection is a methodological framework within the domain of fraud detection in claims that specifically identifies and prevents fraudulent activities perpetrated by service providers through systematic analysis of billing patterns, service delivery anomalies, and behavioral indicators distinct from those of legitimate providers.
30
Publications
1K
Citations
55
Authors
21
Institutions
Publications per year
2017–2026
16
Parents
30
Medicare Fraud Detection Using Machine Learning Methods
Richard A. Bauder, Taghi M. Khoshgoftaar · 2017 · 123 citations
Michela Carlotta Massi, Francesca Ieva, Emanuele Lettieri · BMC Medical Informatics and Decision Making · 2020 · 51 citations · Full text
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Florida Atlantic University
Boca Raton, United States
10 h-index
25 publications
1.6K citations

Berlin School of Economics and Law
Berlin, Germany
1 h-index
1 publications
37 citations
Human Technopole
Milan, Italy
1 h-index
2 publications
102 citations
Carter Center
Atlanta, United States
1 h-index
1 publications
13 citations

Universiti Teknologi Petronas
Ipoh, Malaysia
1 h-index
3 publications
93 citations

University of Milano-Bicocca
Milan, Italy
1 h-index
1 publications
51 citations
Services Australia
Canberra, Australia
1 h-index
5 publications
75 citations
Politecnico di Milano
Milan, Italy
1 h-index
3 publications
153 citations
1–8 of 21
1 publications · 169 citations
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1 publications · 23 citations
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1 publications · 30 citations
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CET · 1 publications · 18 citations
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1 publications · 13 citations
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