
HealthWorksAI’s approach to xAI for Healthcare Payors
At HealthWorks we use a combination of Rule based modeling, Random Forest, and Artificial Neural Networks to develop our proprietary prediction, classification, and performance metrics.
At HealthWorks we use a combination of Rule based modeling, Random Forest, and Artificial Neural Networks to develop our proprietary prediction, classification, and performance metrics.
Knowing which factors strongly correlate to enrollment gain is equally important to understanding which factors can be used as a value add. Click the link to learn more about how various factors affect enrollment gain and vary from region to region.
Beginner’s Guide to Explainable AI (xAI). Explainable Artificial Intelligence can be used to make AI more understandable and trustworthy.
This report highlight the major changes in plan type, cost structures and benefit trends within the Medicare Advantage market.
Effective tagging is essentially applying a proper methodology to understand user behavior in more granular detail. It helps identify specific…
Over the years, $0 Premium Plans have shown a steady growth in the number of enrollments captured. With year-on-year increasing market share…
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