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Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection
Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection Learn more about interpretable machine learning techniques for health insurance fraud detection.- Date: Jan 2024
- Competency: External Forces & Industry Knowledge
- Topics: Health & Disability; Health & Disability>Health insurance; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
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Possible Future of U.S. Healthcare
Possible Future of U.S. Healthcare What is the difference between a Single-Payer and Universal Health Care System, and how could the U.S. implement a system that would reduce the growth of ...- Authors: Roy Goldman
- Date: Nov 2019
- Competency: External Forces & Industry Knowledge; Strategic Insight and Integration
- Publication Name: Health Watch
- Topics: Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health insurance; Health & Disability>Payment models
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New Contract Medicare Star Ratings: Why The Sudden Cliff?
New Contract Medicare Star Ratings: Why The Sudden Cliff? On average, contracts receiving their first star rating receive 3.20 stars, compared to existing or established contracts receiving 3.90 ...- Authors: Suzanna-Grace Sayre, Danielle Beierle
- Date: Jan 2020
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration
- Publication Name: Health Watch
- Topics: Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health insurance