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The American Statistician Volume 71, 2017 - Issue 3
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Statistical Practice

On the Use of the Concentration Function in Medical Fraud Assessment

Tahir EkinDepartment of Computer Information Systems and Quantitative Methods, Texas State University, San Marcos, TX
,
Francesca IevaMOX- Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milan, ItalyORCID Iconhttp://orcid.org/0000-0003-0165-1983
ORCID Icon,
Fabrizio RuggeriIstituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, Milan, Italy
&
Refik SoyerDepartment of Decision Sciences, George Washington University, Washington, DC
Pages 236-241 | Received 01 Aug 2015, Published online: 18 Oct 2017

Citations (9)

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Babak Zafari, Tahir Ekin & Fabrizio Ruggeri. (2022) Multicriteria decision frontiers for prescription anomaly detection over time. Journal of Applied Statistics 49:14, pages 3638-3658.
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Articles from other publishers (8)

John T. Hancock & Taghi M. Khoshgoftaar. (2022) Hyperparameter Tuning for Medicare Fraud Detection in Big Data. SN Computer Science 3:6.
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Tahir Ekin, Luca Frigau & Claudio Conversano. (2021) Health care fraud classifiers in practice. Applied Stochastic Models in Business and Industry 37:6, pages 1182-1199.
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John Hancock & Taghi M. Khoshgoftaar. (2021) Impact of Hyperparameter Tuning in Classifying Highly Imbalanced Big Data. Impact of Hyperparameter Tuning in Classifying Highly Imbalanced Big Data.
John Hancock & Taghi M. Khoshgoftaar. (2021) Leveraging LightGBM for Categorical Big Data. Leveraging LightGBM for Categorical Big Data.
Michela Carlotta Massi, Francesca Ieva & Emanuele Lettieri. (2020) Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. BMC Medical Informatics and Decision Making 20:1.
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Babak Zafari & Tahir Ekin. (2018) Topic modelling for medical prescription fraud and abuse detection. Journal of the Royal Statistical Society: Series C (Applied Statistics) 68:3, pages 751-769.
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Tahir Ekin, Greg Lakomski & Rasim Muzaffer Musal. (2019) An unsupervised Bayesian hierarchical method for medical fraud assessment. Statistical Analysis and Data Mining: The ASA Data Science Journal 12:2, pages 116-124.
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Tahir Ekin, Francesca Ieva, Fabrizio Ruggeri & Refik Soyer. (2018) Statistical Medical Fraud Assessment: Exposition to an Emerging Field. International Statistical Review 86:3, pages 379-402.
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