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…
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Best Practices for Predicting Member Churn
Predicting "member churn" is a common use case in any member population in which plan choice is an individual's decision.…
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5 Questions to Ask Before Building a Readmissions Model
Looking to predict readmissions using predictive modeling and machine learning? We've discovered five simple, yet effective questions to answer before…
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Model Accuracy for Population Health
Communicating model accuracy to different stakeholders is no easy task. This two part blog series will highlight and explain in…
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Why AI in Healthcare Does Not Have to be a “Black Box”
In this episode of the DataPoint podcast, ClosedLoop's CEO explains why AI doesn't have to be a "black box". Our…