Supervised Learning Methods For Fraud Detection in Healthcare Insurance
論文傳送門 作者 路易斯安那理工大學 Prerna Dua Sonali Bais 摘要 醫療體系中的欺詐是一個主要問題，其猖獗的增長已經深深影響了美國政府。除了這種欺詐造成的經濟損失之外，真正需要醫療護理的病人還會因爲得不到服務而遭受損失，而得不到服務又會導致資金短缺。醫療欺詐在不同級別以不同的方式實施，這使得欺詐檢測過程更具挑戰性。主要由保險公司提供的用於檢測醫療欺詐的數據非常龐大，因此無法手
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相關文章
- 1. Fraud Detection in Health Insurance using Data Mining Techinques
- 2. Healthcare Fraud Detection Based on Trustworthiness of Doctors
- 3. Medicare Fraud Detection using Machine Learning
- 4. 【paper reading】《Proposal learning for semi-supervised object detection》
- 5. 論文泛讀 A Novel Ensemble Learning-based Approach for Click Fraud Detection in Mobile Advertising [1/10]
- 6. Thinking in Weakly Supervised Learning
- 7. Semantic Embedding for Medical Providers and Fraud Detection
- 8. Self-supervised Representation Learning from Videos for Facial Action Unit Detection(CVPR 2019)
- 9. Policy Gradient Methods in Reinforcement Learning
- 10. 論文筆記（五） C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection