Use Data Mining Techniques to Detect Medical Fraud in Health Insurance
The health insurance claims application case the inspection usually relies on experts’ experience for verification and experienced personnel in charge for checking. However, due to the heavy work load and the insufficiency of manpower and experience, the ratio of miscarriages of justice is high, lea...
Main Authors: | Kuo-Chung Lin, Ching-Long Yeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Taiwan Association of Engineering and Technology Innovation
2012-04-01
|
Series: | International Journal of Engineering and Technology Innovation |
Subjects: | |
Online Access: | http://ojs.imeti.org/index.php/IJETI/article/view/86 |
Similar Items
-
Use of Data Mining Techniques to Detect Medical Fraud in Health Insurance
by: Kuo-Chung Lin, et al.
Published: (2012-04-01) -
The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts
by: Roberts, Terisa
Published: (2014) -
The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts
by: Roberts, Terisa
Published: (2014) -
Improving Fraud and Abuse Detection in General Physician Claims: A Data Mining Study
by: Hossein Joudaki, et al.
Published: (2016-03-01) -
Application of Data Mining for Card Fraud Detection
by: I.V. Andrianov
Published: (2012-03-01)