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Journal of Medical and Biological Engine 2017 : Big Data and Situation-aware Technology for Smarter Healthcare

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Submission Deadline TBD
 

Call For Papers

Dear Colleagues and Friends,

We are now organizing a special issue on "Big Data and Situation-aware Technology for
Smarter Healthcare" @ Journal of Medical and Biological Engineering (SCI Index) and would like to invite you personally to contribute.

Please find the below call for papers (CFP) and website address,

http://www.springer.com/engineering/biomedical+engineering/journal/40846

In addition, Authors please note the Special Issue (Big Data and Situation-aware Technology for Smarter Healthcare) and Guest Editor Name (Mu-Yen Chen) in the cover letter with submission.

looking forward to your contributions

very best regards


on behalf of the guest editors


Mu-Yen Chen, Ph.D.
Edwin David Lughofer, Ph.D.
Robi Polikar, Ph.D

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The issue will explore how individual or hospital can gain benefits by using novel situation-aware technologies in real-world settings through exploitation of big data technologies. It will also encourage research that uses empirical studies to present the fundamental theory, techniques, applications and practical experiences in the context of smart healthcare-wearable sensors, body area sensors, IoT, and big data analytics that take advantage of advances in bioinformatics domain. Potential topics include, but are not limited to:

-Algorithms for big data analytics and data mining on biology database
-Big data tools, services, and infrastructures on clouds
-Cloud-enabled body sensor networks
-Context-aware, Emotion-aware, Location-based and other Novel Healthcare Services
-Data mining techniques for wireless sensor data
-Data streams mining techniques
-Internet of things (IoT) for biomedicine and healthcare applications
-Novel devices and circuits, and architectural support for healthcare-aware IoT
-Secure middleware for eHealth and IoT
-Wearable Computing, Mobile Cloud Computing for Situation-aware Healthcare
-Data fusion, compression and pre-processing methodologies
-Techniques to address specific challenges in data stream mining (e.g., drifts, noise levels, high-dimensionality,...)
-Decision making and predictive systems

Submission due: January 31, 2017
Acceptance Notice: May 31, 2017
Publication Date: TBD


Mu-Yen Chen, Professor
Department of Information Management,
National Taichung University of Science and Technology, Taichung, 404, Taiwan
E-mail: mychen.academy@gmail.com

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