ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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Hierarchical Provider-Level Fraud Risk Prediction Using Top-K Anomaly Aggregation In Federated Health Insurance SystemsID: 3408 Abstract : |
Published:25-4-2023 Issue:Vol. 23 No. 4 (2023) Page Nos:46-52 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to CiteRamprakash Kalapala,Mahesh Yadlapati, Hierarchical Provider-Level Fraud Risk Prediction Using Top-K Anomaly Aggregation in Federated Health Insurance Systems , 2023, International Journal of Engineering Sciences and Advanced Technology, 23(4), Page 46-52, ISSN No: 2250-3676. |