posted by organizer: Muyen || 1313 views || tracked by 2 users: [display]

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

FacebookTwitterLinkedInGoogle

 
When N/A
Where N/A
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

--------------------------------------------------------------------------------------
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

Related Resources

ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
AI-BD-HS 2020   Artificial Intelligence and Big Data in Resources Poor Healthcare Systems (Springer Nature Book series)
EI-BDAI 2020   2020 International Conference on Industrial Applications of Big Data and Artificial Intelligence (BDAI 2020)
eBISS 2020   10th European Big Data Management & Analytics Summer School
Scopus-BDAI 2020   2020 International Conference on Industrial Applications of Big Data and Artificial Intelligence (BDAI 2020)
WBDC 2020   2020 2nd International Workshop on Big Data and Computing(WBDC 2020) 
SIGSPATIAL 2020   28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
DSD 2020   The 1st International Conference of Data Mining and Software Development
INIT/AERFAI SSML 2020   INIT/AERFAI Summer School on Machine Learning
INIT/AERFAI SSML 2020   INIT/AERFAI Summer School on Machine Learning