A Machine Learning-based Approach for Medical Insurance Anomaly Detection by Predicting Indirect Outpatients' Claim Price-Reference-Cited by-同舟云学术

A Machine Learning-based Approach for Medical Insurance Anomaly Detection by Predicting Indirect Outpatients' Claim Price

Published:2023-05-03 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Web Research (ICWR)
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Author:

Garmdareh Mahdi Sharifi¹,Neysiani Behzad Soleimani²,Nogorani Mohammad Zahiri²,Bahramizadegan Mehdi¹

Affiliation:

1. Aryia Smart Decision Company,Department of Research and Development,Isfahan,Iran

2. Ava Aria Information Company,Department of Research and Development,Isfahan,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138905/10138951/10139290.pdf?arnumber=10139290

Reference24 articles.

1. Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

2. Estimating student retention and degree-completion time: Decision trees and neural networks vis-à-vis regression

3. Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data;matschak;Twenty-fifth Pacific Asia Conference on Information Systems (PACIS),2021

4. A Novel Two-Step Classification Approach for Runtime Performance Improvement of Duplicate Bug Report Detection;soleimani neysiani;Computational Knowledge Engine,2022

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