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Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection
conroysimberg.com/blog/insurance-fraud-costs-the-u-s-308-billion- annually/#:~:text=The%20Coalition%2 ... between the fraudulent and non- fraudulent cases. Table 1 IMBALANCE IN DATASET Fraud Non-Fraud Number ...- Date: Jan 2024
- Topics: Health & Disability; Health & Disability>Health insurance; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
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A Patient Centric Approach to AI in Health Insurance
022-00594-w 2. Gier, Jaime, Missed appointments cost the U.S. healthcare system $150B each year (2017). https://www ... com/clinical-it/article/13008175/missed-appointments-cost- the-u s-healthcare-system-150b-each-year 3. Karen Van Nuys ...- Authors: Scott Damery
- Date: May 2024
- Competency: Results-Oriented Solutions
- Topics: Health & Disability; Health & Disability>Health insurance; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
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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 ... Postgraduate in Actuarial Data Science, SSSIHL Sai Siddhanth S, Postgraduate in Actuarial Data Science, SSSIHL Abhiishek ...- 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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Bread, Milk, Cheese, Eggs and an Insurance Payment
by making the right types of purchases. Barriers sll may exist with regards to consumers’ willingness ... study purchase behaviors to incenvize customer sckiness, support consumer educaon and logiscal ...- Authors: Nathan Worrell
- Date: May 2024
- Competency: Strategic Insight and Integration
- Topics: Technology & Applications; FinTech & InsurTech; FinTech & InsurTech>Customer relationship management; Technology & Applications>Artificial intelligence & machine learning