MD2K [Mobile Sensor Data to Knowledge] is a federally funded health project that plans to open source all of their tools and software. Nearly 11 million dollars have been awarded from the National Institute of Health to a team consisting of 12 Universities and medical centers. The goal is to develop research grade wearable sensors, collect and analyze the data and possibly intervene when a high risk health event is occurring.
Advancing Biomedical Discovery and Improving Health through Mobile Sensor Big Data
MD2K is one of 11 national Big Data Centers of Excellence awarded by the National Institutes of Health (NIH) as part of its Big Data-to-Knowledge initiative. The MD2K Center brings together the top brains in Computer Science, Engineering, Medicine, Behavioral Science, and Statistics, drawn from 12 universities (Cornell Tech, Georgia Tech, Northwestern, Ohio State, Rice, UCLA, UC San Diego, UC San Francisco, the University of Massachusetts Amherst, the University of Memphis, the University of Michigan and West Virginia University), and Open mHealth (a non-profit organization).
The MD2K Team is developing innovative tools to make it easier to gather, analyze and interpret 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 expected to improve the health of individuals through early detection of adverse health events and by facilitating prevention. The MD2K team is directly targeting two complex health conditions with high mortality risk – reducing hospital readmission in congestive heart failure (CHF) patients and preventing relapse in abstinent smokers. The approach and product of MD2K will be also applicable to other complex diseases, such as asthma, substance abuse and obesity. The Center will make the MD2K tools, software, and training materials widely available and organize workshops and seminars to encourage their use by researchers and clinicians.
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