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
Host  Vani Mandava
Affiliation  UW Center for Data Science at Tacoma
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.