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Title: :  Enriching Health Care Fraud Detection System Using ANN
PaperId: :  8675
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 3 2018
DUI:    16.0415/IJARIIE-8675
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aditi KamathModern Education Society's College Of Engineering
Darshana AkadkarModern Education Society's College Of Engineering
Pooja DivaseModern Education Society's College Of Engineering
Shraddha HundalekarModern Education Society's College Of Engineering
N.I.UjloomwaleModern Education Society's College Of Engineering

Abstract

Computer Engineering
Data labels, Data vector, Preprocessing, Protocol collection, K-means Clustering, ANN, Fuzzy Classification, probability, Fraud Estimation, Fraud claim identification, Insurance, Algorithm design and analysis, Drugs (Medicines)
Unavailability of a medical fraud detector encourages the rate of fraud in the healthcare insurance sector to increase by a great extent such that the medical practicians delude the insurance holders very well. Consequently, in order to do away with these fraudulent insurance claims, a system that discovers the fake claims and facilitates in scaling down the rate of insurance claim frauds is essential. Several techniques like Social Network Analysis (SNA), Duplicate and Gap testing, Spike Analysis, Social Customer Relationship Management (SCRM) and Predictive Modelling are utilized in order to attain a system owning to a successful fraud detection process. But, on the contrary, these systems face troubles of a large time and space complexities. To enhance the process of fraud claims detection of the doctors at the insurance company’s end the proposed method puts forwards an idea of identifying fraud claims by clustering the claims based on the protocols by using the K-means clustering technique which is then powered with ANN to extract the fraud list and this process is supported by fuzzy logic classification hypothesis.

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IJARIIE Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. "Enriching Health Care Fraud Detection System Using ANN" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 3 2018 Page 1756-1763
MLA Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. "Enriching Health Care Fraud Detection System Using ANN." International Journal Of Advance Research And Innovative Ideas In Education 4.3(2018) : 1756-1763.
APA Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, & N.I.Ujloomwale. (2018). Enriching Health Care Fraud Detection System Using ANN. International Journal Of Advance Research And Innovative Ideas In Education, 4(3), 1756-1763.
Chicago Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. "Enriching Health Care Fraud Detection System Using ANN." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 3 (2018) : 1756-1763.
Oxford Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. 'Enriching Health Care Fraud Detection System Using ANN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, 2018, p. 1756-1763. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enriching_Health_Care_Fraud_Detection_System_Using_ANN_ijariie8675.pdf (Accessed : ).
Harvard Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. (2018) 'Enriching Health Care Fraud Detection System Using ANN', International Journal Of Advance Research And Innovative Ideas In Education, 4(3), pp. 1756-1763IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enriching_Health_Care_Fraud_Detection_System_Using_ANN_ijariie8675.pdf (Accessed : )
IEEE Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale, "Enriching Health Care Fraud Detection System Using ANN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, pp. 1756-1763, May-Jun 2018. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enriching_Health_Care_Fraud_Detection_System_Using_ANN_ijariie8675.pdf [Accessed : ].
Turabian Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. "Enriching Health Care Fraud Detection System Using ANN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 3 ().
Vancouver Aditi Kamath, Darshana Akadkar, Pooja Divase, Shraddha Hundalekar, and N.I.Ujloomwale. Enriching Health Care Fraud Detection System Using ANN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : ]; 4(3) : 1756-1763. Available from: https://ijariie.com/AdminUploadPdf/Enriching_Health_Care_Fraud_Detection_System_Using_ANN_ijariie8675.pdf
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