Machine Learning Models on Azure to Power Risk of Readmission

Date of Presentation: 
Wednesday, May 21, 2014
Quarter: 
2014 Spring
Presenter: 
Dr. Ankur Teredesai's picture
Ankur
Teredesai
Research Focus: 

Theoretical: Distributed Scalable Data Mining, Secure Machine Learning
Applied: Health Informatics, WWW, Geospatial Data Mining

Research Group Association: 
Linked In Profile: 
David Hazel's picture
David
Hazel
Research Focus: 

David has been involved in the intersection between health and technology since 1998. Including a remote telemedicine project, which sought to bring medical specialist expertise to remote islands in the pacific through the use of telemedicine technology. Following this effort, he led the team investigating migration of the Algorithm Directed Troup Medical Care Sick Call System process at US Army Battalion Aid Stations from paper binder to web interface.
 
More recently along with students and colleagues at Fred Hutch Cancer Research center and Electrical Engineering, he has been working on a very innovative smartphone app that automatically estimates volume of food to help nutrition scientists conduct large longitudinal studies between cancer and nutrition.
 
He received his MS CSS from the Institute of Technology at UW Tacoma in 2008, and after a few years growing a successful Drupal Consultancy, returned to the Institute of Technology help launch the Center for Web and Data Science, as well as mentor and train the next generation of technologists.

Research Group Association: 
Linked In Profile: 
Dr. Senjuti Basu Roy's picture
Senjuti
Basu Roy
Research Focus: 
  • Search, Navigation and Analytics over Structured and Unstructured Databases.
  • Information Retrieval, Data Mining, and Social Network Analysis
  • Computational Geometry, Randomized Algorithm and Approximation Algorithms
Research Group Association: