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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 Read this report to learn more about interpretable machine learning techniques for health ...- 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
A Patient Centric Approach to AI in Health Insurance The article explores how integrating AI into insurer apps can address critical challenges in healthcare, such as patient no-shows, medication ...- 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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prod-design-customer-needs-risks
ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value ...- Date: Apr 2024
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration
- Topics: Health & Disability; Health & Disability>Health insurance; Life Insurance; Technology & Applications
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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