INTELLIGENT FRAUD PREVENTION: IMPLEMENTING AML SOLUTIONS FOR MCCA REIMBURSEMENT CLAIMS PROTECTION

This article examines the implementation of Advanced Machine Learning (AML) solutions for protecting MCCA reimbursement claims against fraud. The article explores the evolution of fraud detection systems within the Michigan CatastrophicClaims Association's framework, analyzing traditional detection methods' limitations

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Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-02-18
DOI
https://doi.org/10.34218/ijcet_16_01_249
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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0.00
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article

INTELLIGENT FRAUD PREVENTION: IMPLEMENTING AML SOLUTIONS FOR MCCA REIMBURSEMENT CLAIMS PROTECTION

Sasidhar Reddy Somula
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Imbalanced Data Classification Techniques
article

INTELLIGENT FRAUD PREVENTION: IMPLEMENTING AML SOLUTIONS FOR MCCA REIMBURSEMENT CLAIMS PROTECTION

Sasidhar Reddy Somula
article en

Abstract

This article examines the implementation of Advanced Machine Learning (AML) solutions for protecting MCCA reimbursement claims against fraud. The article explores the evolution of fraud detection systems within the Michigan CatastrophicClaims Association's framework, analyzing traditional detection methods' limitations

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(1)
Accenture (Switzerland) (CH), Accenture (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 99%
Imbalanced Data Classification Techniques
DOIOpen Access PDFOpenAlex
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INTELLIGENT FRAUD PREVENTION: IMPLEMENTING AML SOLUTIONS FOR MCCA REIMBURSEMENT CLAIMS PROTECTION — Sasidhar Reddy Somula · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS