Research Article
Implementation of Data Mining in Medical Fraud Detection
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 69 - Issue 5 |
| Published: May 2013 |
| Authors: J. Jacqulin Margret, Shrijina Sreenivasan |
10.5120/11835-7556
|
J. Jacqulin Margret, Shrijina Sreenivasan . Implementation of Data Mining in Medical Fraud Detection. International Journal of Computer Applications. 69, 5 (May 2013), 1-4. DOI=10.5120/11835-7556
@article{ 10.5120/11835-7556,
author = { J. Jacqulin Margret,Shrijina Sreenivasan },
title = { Implementation of Data Mining in Medical Fraud Detection },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 69 },
number = { 5 },
pages = { 1-4 },
doi = { 10.5120/11835-7556 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A J. Jacqulin Margret
%A Shrijina Sreenivasan
%T Implementation of Data Mining in Medical Fraud Detection%T
%J International Journal of Computer Applications
%V 69
%N 5
%P 1-4
%R 10.5120/11835-7556
%I Foundation of Computer Science (FCS), NY, USA
Abstract
With the enormous amount of data stored in files, databases, and other repositories, it is increasingly important, to develop powerful means to analyze and extract interesting knowledge from data. Fraudulent healthcare claims increase the burden on the society. The healthcare fraud detection requires compilation of potentially huge data, involving complex computation and sorting operations. Once such frauds have been detected and classified, data cleaning is applied to it which helps to remove the noise and inconsistencies in the data thereby enhancing its quality. This technique can be used to detect the sale of potentially dangerous medicine by pharmacists thereby preventing such medical fraud.
References
- Principles And Methods Of Data Cleaning, Arthur D. Chapman1
- http://en. wikipedia. org/wiki/Data_profiling
- Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber, Morgan Kaufmann, 2001.
- http://en. wikipedia. org/wiki/Confusion_matrix
- Data Mining for Cancer Management in Egypt Case Study: Childhood Acute Lymphoblastic Leukemia , Nevine M. Labib, and Michael N. Malek
- Data Mining: Introduction and a Health Care Application, Prem Swaroop Dr Bruce Golden
- Data Mining In Healthcare: Current Applications And Issues, Ruben D. Canlas Jr.
- Data Mining ,Ming Li, Department of Computer Science and Technology, Nanjing University Fall 2011 Chapter 10: Predictive Modeling
Index Terms
Keywords