With our robust model library pre-trained on billions of healthcare claims, and an unlimited number of algorithms to be added, it’s easy to start learning!

Here are 2 use cases to show how our Supervised and Unsupervised algorithms work:

 

Supervised learning:  use case

State in the US looking for a better way to identify over prescribers of opioids for their audits
 
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Unsupervised learning:  use case

Use Case for Unsupervised Learning used for a healthcare organization that wanted to match up transactions with their General Ledger to ensure complete payment.

Unsuperversized Learning 2