posted by organizer: Muyen || 1096 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

IEEE BigData 2019   IEEE International Conference on Big Data
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
ICBDACI 2019   2nd International Conference on Big Data Analytics And Computational Intelligence
IDEAL 2019   Intelligent Data Engineering and Automated Learning
PerFoT 2019   2019 International Workshop on Pervasive Flow of Things (Co-located with IEEE PerCom 2019)
IWBIS 2019   The 4th IEEE International Workshop on Big Data and Information Security
RMCE 2019   2nd International Conference on Recent Trends in Big Data Management, Data Analysis, Computing and Engineering Applications
ICCBD--EI Compendex and Scopus 2019   2019 the 2nd International Conference on Computing and Big Data (ICCBD 2019)--EI Compendex and Scopus
AICCC--EI Compendex, Scopus 2019   2019 2nd Artificial Intelligence and Cloud Computing Conference (AICCC 2019)--EI Compendex, Scopus
ICCBD--EI and Scopus 2019   2019 the 2nd International Conference on Computing and Big Data (ICCBD 2019)--EI Compendex and Scopus