A New Metric for Quantifying Machine Learning Fairness in Healthcare
Several recent, high profile cases of unfair AI algorithms have highlighted the vital need to address bias early in the…
Several recent, high profile cases of unfair AI algorithms have highlighted the vital need to address bias early in the…
Predicting "member churn" is a common use case in any member population in which plan choice is an individual's decision.…
Looking to predict readmissions using predictive modeling and machine learning? We've discovered five simple, yet effective questions to answer before…
Communicating model accuracy to different stakeholders is no easy task. This two part blog series will highlight and explain in…
In this episode of the DataPoint podcast, ClosedLoop's CEO explains why AI doesn't have to be a "black box". Our…