Webinar

Using Machine Learning to Predict Stent Failure

An AI use case in the healthcare industry.

Now Available On-Demand

About the webinar

Have you ever wondered where Machine Learning can fit into the healthcare industry to make medical procedures more safe and effective?

We will be exploring this with a live demo of a use case where we predict what causes a Stent Failure. A Stent is a tiny tube that a doctor can insert into a blocked passageway to keep it open, for example to allow blood flow in a blocked up blood vessel.

In this webinar we will be going over the application of Advanced Analytics and Machine Learning using SAS Viya, as well as exploring open source integration like R/Python to cover the full analytics life cycle. We will also be discussing other use cases of AI in the healthcare industry.

During the webinar we'll explore:

  • The application of Advanced Analytics and Machine Learning using SAS Viya
  • Open source integration like R/Python to cover the full analytics lifecycle
  • Other AI use cases in the healthcare industry

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About the Expert

Haidar Altaie

Haidar Altaie

Data Scientist, SAS UK&I

Haidar is a Data Scientist at SAS UKI. He joined SAS in September 2018 after graduating from University with a Mathematics and Statistics degree, and is passionate about integrating the analytical skills he’s learned across growing industries to enable customers to solve complex real life issues.

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