The Two Phases of Machine Learning in Healthcare

August 17, 2017
In this clip, Jeff Turpin, director, product development, discusses classic machine learning in healthcare and its "two phases," the k-means clustering algorithm, risk stratification, natural language processing (NLP), and how having real-time data is crucial for minimizing readmission risks.
Previous Video
Making the Interface Engineer's Job Easier
Making the Interface Engineer's Job Easier

To accommodate the implementation of new systems, healthcare organizations were once forced to rely on thei...

Next Video
Optimize Those Bottlenecks
Optimize Those Bottlenecks

An integration engine with high availability and continuous uptime creates opportunities for an organizatio...

×

Subscribe to our Blog!

First Name
Last Name
Thank you!
Error - something went wrong!