Center of excellence for mobile sensor data-to-knowledge (MD2K)

Author:

Kumar Santosh1,Abowd Gregory D2,Abraham William T3,al’Absi Mustafa4,Gayle Beck J5,Chau Duen Horng6,Condie Tyson7,Conroy David E8,Ertin Emre9,Estrin Deborah10,Ganesan Deepak11,Lam Cho12,Marlin Benjamin11,Marsh Clay B13,Murphy Susan A14,Nahum-Shani Inbal15,Patrick Kevin16,Rehg James M2,Sharmin Moushumi1,Shetty Vivek17,Sim Ida18,Spring Bonnie8,Srivastava Mani19,Wetter David W12

Affiliation:

1. Computer Science, University of Memphis, Memphis, TN

2. School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA

3. Cardiovascular Medicine, The Ohio State University, Columbus, OH

4. Duluth Medical Research Institute (DMRI), University of Minnesota Medical School, Duluth, MN

5. Psychology, University of Memphis, Memphis, TN

6. School of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, GA

7. Computer Science, University of California, Los Angeles, CA

8. Preventive Medicine, Northwestern University, Chicago, IL

9. Electrical & Computer Engineering, The Ohio State University, Columbus, OH

10. Computer Science, Cornell Tech, New York, NY

11. Computer Science, University of Massachusetts, Amherst, MA

12. Psychology, Rice University, Houston, TX

13. Health Sciences, West Virginia University, Morgantown, WV

14. Statistics, University of Michigan, Ann Arbor, MI

15. Institute for Social Research, University of Michigan, Ann Arbor, MI

16. The Qualcomm Institute, University of California, San Diego, La Jolla, CA

17. School of Dentistry, University of California, Los Angeles, CA

18. Medicine, University of California, San Francisco, CA

19. Electrical Engineering, University of California, Los Angeles, CA

Abstract

Abstract Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. The research conducted by MD2K is targeted at improving health through early detection of adverse health events and by facilitating prevention. MD2K will make its tools, software, and training materials widely available and will also organize workshops and seminars to encourage their use by researchers and clinicians.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference28 articles.

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