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.
HealthWorksAI – 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.
Significance of Benefits and Other Factors on Enrollment Gain
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.
HealthWorksAI – Significance of Benefits and Other Factors on Enrollment Gain
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.
Explainable AI [xAI]: Complete Beginner’s Guide
Beginner’s Guide to Explainable AI (xAI). Explainable Artificial Intelligence can be used to make AI more understandable and trustworthy.
