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Examining Predictive Modeling–Based Approaches to Characterizing Health Care Fraud
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Examining Predictive Modeling–Based Approaches to Characterizing Health Care Fraud

The Health Section Research Committee is pleased to make available a research report providing a systematic evaluation of the modeling methodologies and data samples used to characterize health care fraud. Also included is an Excel file with an inventory of articles and studies reviewed in the report. The material was authored by Jing Ai, Robert Lieberthal, Skyla Smith, and Rachel Wojciechowski.

Report

Examining Predictive Modeling-Based Approaches to Characterizing Health Care Fraud

Inventory of Articles and Studies

Thank You

The SOA would like to thank the following individuals for serving on the Project Oversight Group:

Brandon Barber
Andie Christopherson
Elaine Corrough
Rebecca Owen
Paul Peoples
Kevin Ruggeberg
Shuying Shen
Kurt Wrobel
Ryan Ziemann
Joe Wurzburger, SOA Staff Fellow
Steve Siegel, SOA Research Actuary
Barbara Scott, SOA Sr. Research Administrator

Questions Or Comments?

If you have comments or questions, please  research@soa.org.

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