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Published on: August 6, 2013
Center of excellence for mobile sensor data-to-knowledge (MD2K)
Santosh Kumar1, Gregory D Abowd2, William T Abraham3
1Computer Science, University of Memphis, Memphis, TN.
Journal of the American Medical Informatics Association : JAMIA
|November 12, 2015
Summary
The Mobile Sensor Data-to-Knowledge (MD2K) center creates tools for analyzing health data from mobile sensors. This Big Data initiative aims to improve health by quantifying risk factors and enabling early detection of health issues.
Area of Science:
- Big Data
- Health Informatics
- Mobile Health (mHealth)
Background:
- The National Institutes of Health (NIH) established Big Data Centers of Excellence to address challenges in health data.
- Mobile and wearable sensors generate vast amounts of health-related data, necessitating advanced analytical tools.
Purpose of the Study:
- To develop innovative tools for the collection, integration, management, visualization, analysis, and interpretation of mobile sensor data.
- To quantify physical, biological, behavioral, social, and environmental factors influencing health and disease risk.
- To improve health outcomes through early detection of adverse events and enhanced prevention strategies.
Main Methods:
- Development of a comprehensive data-to-knowledge ecosystem for mobile sensor data.
- Leveraging big data analytics for health research.
- Creation of tools and software for researchers and clinicians.
Main Results:
- MD2K is one of 11 selected Big Data Centers of Excellence.
- Innovative tools are being developed to handle the complexity of mobile sensor health data.
- The initiative focuses on quantifying diverse health determinants.
Conclusions:
- MD2K's big data solutions will enable reliable quantification of health and disease risk factors.
- The project aims to significantly improve public health through data-driven insights.
- Tools, software, and training will be disseminated to foster widespread adoption in research and clinical practice.

