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Deploying Machine Learning Algorithms for Predicting Risk of Readmission for Congestive Heart Failure (CHF) on Microsoft Azure

Speaker  Ankur Teredesai, Senjuti Basu Roy, Vivek R Rao, and David Hazel

Affiliation  UW Center for Data Science at Tacoma

Host  Vani Mandava

Duration  01:02:28

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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