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J Am Med Inform Assoc. 2015 Nov;22(6):1137-42. doi: 10.1093/jamia/ocv056. Epub 2015 Jul 3.

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

Author information

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

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.

KEYWORDS:

big data; data science research; knowledge discovery; mobile health (mHealth); wearable sensors

PMID:
26555017
PMCID:
PMC5009911
DOI:
10.1093/jamia/ocv056
[Indexed for MEDLINE]
Free PMC Article

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