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Call for Papers
International Conference for Smart Health (ICSH) 2014
Beijing, China
July 10-11, 2014
http://www.icsh2014.org
Advancing Informatics for healthcare and healthcare applications has become an international research priority. There is increased effort to transform reactive care to proactive and preventive care, clinic-centric to patient-centered practice, training-based interventions to globally aggregated evidence, and episodic response to continuous well-being monitoring and maintenance.
In 2013, the International Conference for Smart Health 2013 was successfully held in Beijing, China. Researchers and practitioners from related fields attended this conference and engaged in active interdisciplinary discussions concerning bio-medical, IT, and policy topics. The International Conference for Smart Health 2014 is intended to provide a forum for the growing smart health research community to discuss the principles, algorithms and applications of intelligent data acquisition, processing, and analysis of healthcare data. The ICSH conference proceedings will be published by Springer Lecture Notes in Computer Science (LNCS). Selected papers will also be considered for IEEE Intelligent Systems and ACM Transactions on Management Information Systems.
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Topics
of Interest
Topics of interest include, but are not limited to:
I. Information sharing, integrating and extraction
II. Clinical practice
and training
III. Mining clinical, medical, and public health data
IV.
Assistive, persuasive and intelligent devices for medical care and
monitoring
V. Global systems and large-scale health data analysis and
management
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Paper
Submission Instructions
All papers submitted for conference consideration will undergo a rigorous
peer-review process. Selected papers may be presented as long papers, short
papers, or
posters/abstracts and will be published as proceedings with
Springer Lecture Notes in Computer Science (LNCS).
Long papers (12 pages), short papers (6 pages), and posters (3 pages),
following the Springer LNCS paper templates in English, may be submitted
electronically. Submission file
formats are PDF or Microsoft Word.
Information on the templates may be found on the Springer website page,
"Information for LNCS Authors at:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
All papers can be submitted via the Easy Chair submission system at:
https://www.easychair.org/conferences/?conf=icsh2014
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Important Dates
Paper submissions due: April 30, 2014
Conference dates:
July 10-11, 2014
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Conference Organizers
Conference Co-Chairs
- Hsinchun Chen, University of Arizona, USA; Tsinghua
University, China
- Daniel Zeng, University of Arizona, USA; Chinese Academy
of Sciences, China
- Chunxiao Xing, Tsinghua University, China
Program Co-Chairs
- Xiaolong Zheng, Chinese Academy of Sciences,
China
- Yong Zhang, Tsinghua University, China
- Daniel Neill, Carnegie
Mellon University, USA
Finance Co-Chairs
- Hui Yang, University of South Florida, USA
- Ahmed
Abbasi, University of Virginia, USA
- Donald Adjeroh, West Virginia
University, USA
Publication Co-Chairs
- Wendy Chapman, University of California, San
Diego, USA
- Scott Leischow, Mayo Clinic, USA
- Chao Li, Tsinghua
University
Tutorial Co-Chairs
- John Brownstein, Harvard Medical School,USA
-
Hsin-Min Lu, National Taiwan University, Taiwan
- Zhidong Cao, Chinese
Academy of Sciences, China
Poster Chair
- Howard Burkom, Johns Hopkins University
- Yongqiang Lyu,
Tsinghua University
Publicity Co-Chairs
- Kwok Tsui, City University of Hong Kong, China
-
Guandong Xu, University of Technology, Sydney, Australia
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Conference Sponsors
Tsinghua University
Chinese Academy of Sciences
National Natural
Science Foundation of China
The University of Arizona
Co-sponsors:
INFORMS AI College
ACM Beijing Chapter
China
Association for Information Systems
Call for Papers International Conference for Smart Health (ICSH) 2014,布布扣,bubuko.com
Call for Papers International Conference for Smart Health (ICSH) 2014
标签:com http ext log art 2014 int cti har c view
原文地址:http://www.cnblogs.com/wrh526/p/3698188.html