Center of excellence for mobile sensor data-to-knowledge (MD2K)
Author(s) -
Santosh Kumar,
Gregory D. Abowd,
William T. Abraham,
Mustafa Al’Absi,
J. Gayle Beck,
Duen Horng Chau,
Tyson Condie,
David E. Conroy,
Emre Ertin,
Deborah Estrin,
Deepak Ganesan,
Cho Y. Lam,
Benjamin M. Marlin,
Clay B. Marsh,
Susan A. Murphy,
Inbal NahumShani,
Kevin Patrick,
James M. Rehg,
Moushumi Sharmin,
Vivek Shetty,
Ida Sim,
Bonnie Spring,
Mani Srivastava,
David W. Wetter
Publication year - 2015
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocv056
Subject(s) - center of excellence , big data , excellence , data science , wearable computer , computer science , visualization , wearable technology , data management , data collection , knowledge management , data mining , statistics , mathematics , database , political science , law , embedded system
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.
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