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

  • Ankur Teredesai, Senjuti Basu Roy, Vivek R Rao, and David Hazel | UW Center for Data Science at Tacoma

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.

Speaker Details

Dr. Teredesai is an Associate Professor at the Institute of Technology at the University of Washington Tacoma and directs the Center for Data Science.

Mr. Hazel is the managing director of the center.

    • Portrait of Jeff Running

      Jeff Running

Series: Microsoft Research Talks