FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance-Reference-Cited by-同舟云学术

FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance

Author:

Zhou Jiehui¹^ORCID,Wang Xumeng²^ORCID,Wang Jie³,Ye Hui⁴,Wang Huanliang¹,Zhou Zihan¹,Han Dongming¹^ORCID,Ying Haochao⁵^ORCID,Wu Jian⁶,Chen Wei¹^ORCID

Affiliation:

1. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China

2. TMCC, CS, Nankai University, Tianjin, China

3. Alibaba Group, Hangzhou, Zhejiang Province, China

4. Tencent, Shenzhen, Guangdong, China

5. School of Public Health, Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University, Hangzhou, Zhejiang, China

6. Second Affiliated Hospital School of Medicine, School of Public Health, Institute of Wenzhou, Zhejiang University, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

Reference30 articles.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. HHM:A Hybrid Model for Predicting Medicare Violation Data;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25