A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7835817/7838104/07838167.pdf?arnumber=7838167
Cited by 17 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
1. Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
2. Collaborative artificial intelligence system for investigation of healthcare claims compliance;Scientific Reports;2024-05-24
3. Healthcare Insurance Fraud Prediction with Correlation based Forward Feature Selection;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17
4. Identification of Fraudulent Healthcare Claims Using Fuzzy Bipartite Knowledge Graphs;IEEE Transactions on Services Computing;2023-11
5. Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information;IEEE Transactions on Knowledge and Data Engineering;2023-10-01
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