BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

San Francisco, CA
May 15-16, 2017

Machine Learning – What Can It Do For Healthcare?

May 15, 2017
4:30pm - 5:00pm
Grand Ballroom

There are two main approaches to machine learning – supervised and unsupervised – and each has specific applications in the context of healthcare. And even though their impact has not yet sent shockwaves through the industry, the potential of each is enormous.

At its basic level, machine learning involves looking at data, and from that data finding information that is not readily visible. Example: Applying machine learning to data about patients infected with Zika or another virus and using what we can learn about what happens to those people to inform care decisions regarding the best ways to treat people who get infected in the future. 

As healthcare entities continually ramp up their analytics and big data efforts and gird for precision medicine and population health, machine learning as well as artificial intelligence and cognitive computing are poised to become even more valuable.

Nike Ambassador IX 9

Speakers

Zeeshan
Syed
Director, Clinical Inference and Algorithms Program
Stanford Health Care

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