| Literature DB >> 26555017 |
Santosh Kumar1, Gregory D Abowd2, William T Abraham3, Mustafa al'Absi4, J Gayle Beck5, Duen Horng Chau6, Tyson Condie7, David E Conroy8, Emre Ertin9, Deborah Estrin10, Deepak Ganesan11, Cho Lam12, Benjamin Marlin11, Clay B Marsh13, Susan A Murphy14, Inbal Nahum-Shani15, Kevin Patrick16, James M Rehg2, Moushumi Sharmin1, Vivek Shetty17, Ida Sim18, Bonnie Spring8, Mani Srivastava19, David W Wetter12.
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
Mesh：
Year: 2015 PMID： 26555017 PMCID： PMC5009911 DOI： 10.1093/jamia/ocv056
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN： 1067-5027 Impact factor: 4.497