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
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.