Speaker Ankur Teredesai, Senjuti Basu Roy, Vivek R Rao, and David Hazel
Affiliation UW Center for Data Science at Tacoma
Host Vani Mandava
Date recorded 22 May 2014
In this talk, we will share our learning and experiences for developing and deploying scalable machine learning algorithms for predicting risk-of-readmission for Congestive Heart Failure at one of our region’s largest healthcare provider Multicare Health System. We will reflect on the challenges we encountered in this journey over a period of 2.5 years, describe the opportunities for using Microsoft Azure for the problem, and lay out our future directions.
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