IEEE ICTS4eHealth - Last day to submit your paper

[Apologies if you receive multiple copies of this Call for Papers]

Last reminder: Submission Deadline Approaching: April 12, 2017 (firm and
final)

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ICTS4eHealth 2017 - 2nd edition of the IEEE International Workshop on ICT
Solutions for e-Health
Aquila Atlantis Hotel, Heraklion, Crete, Greece
July 03-06 2017 - www.icts4ehealth.icar.cnr.it

** with Best Paper Award **

in conjunction with the Twenty-Second IEEE Symposium on Computers and
Communications (ISCC)
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MISSION:
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e-Health is one of the major research topics that have been attracting
cross-disciplinary research groups. The deployment of new emerging ICT
technologies for Health, especially based on Cloud computing, Internet of
Things (IoT), and Computational Intelligence, is attracting the interest of
many researchers.

The use of Cloud computing, IoT technologies, and methods typical of Soft
Computing and Computational Intelligence have been very prominent recently
and can be of great help in finding good solutions to many practical
healthcare applications.

For instance, health monitoring, health data storage, health data
collection, mobile health, pervasive health, healthcare monitoring,
telemedicine, context-aware computing, ubiquitous computing, processing
health data in the cloud, securing health data in the cloud and Assistive
Technology (AT) are areas of interest that are being addressed using cloud
computing and IoT techniques. On the other hand, several challenging issues
have raised due to the adoption of such emerging technologies. These
include the quality of health data, the ability to retrieve information and
use it in health context, as for example in tasks related to machine
learning, knowledge discovery, decision support, regression, forecasting,
optimization, feature selection, and additionally privacy and security
issues of health data while being processed in the cloud, availability of
health data, models of context and tele-monitoring of contextual
applications.

ICTS4eHealth 2017 is the second edition of the International IEEE Workshop
dedicated to ICT solutions for e-Health, especially based on Cloud
computing, Internet of Things (IoT), and Computational Intelligence.

The workshop will bring together researchers from academia, industry,
government, and medical centers in order to present the state of the art in
the emerging area of the use of cloud systems in connected health
infrastructure and applications, and the use of IoT and Computational
Intelligence technique in the area of eHealth.

TOPICS:
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- Cloud computing applications for eHealth
- Internet of Things (IoT) applications for eHealth
- Assistive Technology (AT).
- Informatization, Management and Organization of BME Environments
- Bioinformatics and Computational Biology and Medicine
- Communication, Networking and Monitoring in Bio-systems
- Monitoring of Vital Functions with Sensor and ICT Systems
- Biosensors and Sensor Networks
- Advanced Bio-signal Processing
- Distributed BME Applications
- Telehealth, Telecare, Telemonitoring, Telediagnostics
- e-Healthcare, m-Healthcare, x-Health
- Assisted Living
- Smartphones in BME Applications
- Social Networking, Computing and Education for Health
- Computer Aided Diagnostics
- Improved Therapeutic and Rehabilitation Methods
- Intelligent Bio-signal Interpretation
- Data and Visual Mining for Diagnostics
- Advanced Medical Visualization Techniques
- Personalized Medical Devices and Approaches
- Modelling and Computer Simulations in BME
- Human Responses in Extreme Environments
- Other Emerging Topics in BME
- E-Accessibility
- Web accessibility
- Hardware & Software personalized assistive technologies
- Assistive systems for users who are blind or visually impaired
- Cloud computing and AT
- Integration between home-based assistive technologies and patient health
data
- User-centered design of electronic assistive technologies
- Usability of assistive technologies
- Computer vision in AT
- User interfaces for home-based assistive technologies
- Use of prescription systems and assistive technologies
- Experience from real world assistive environment deployment
- Assistive Technologies for Urban Environments
- Healthcare modeling and simulation
- Knowledge discovery and decision support
- Biomedical data processing
- Wearable devices
- Sensor-based mHealth applications

The use of Soft Computing/Computational Intelligence methods in facing
problems in the above topics is highly welcome, although not compulsory.


PAPER SUBMISSION:
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Authors are invited to submit full papers written in English, with a paper
length of six (6) printed pages, including figures, tables & references in
IEEE double-column format (IEEE standard conference templates). Submissions
should contain original material and not be previously published, or
currently submitted for consideration elsewhere. All papers will be
reviewed for scientific quality by the Technical Program Committee.

All papers should be submitted via EDAS using
https://edas.info/newPaper.php?c=23263&track=83976

Paper submission implies the willingness of at least one author to
register, at the regular rate (non-student), and present the paper. The
Workshop Proceedings will be part of the ISCC 2017 Proceedings and will be
submitted for inclusion in IEEE Xplore Digital Library. The IEEE
ICTS4eHealth 2017 Workshop is using the EDAS Conference Management System
to manage the paper submission process.


BEST PAPER AWARD:
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A "Best Paper Award" Certificate will be conferred on the author(s) of a
paper presented at the workshop, selected by the Chairs based on scientific
significance, originality and outstanding technical quality of the paper,
as assessed also by the evaluations of the members of the Program Committee.


IMPORTANT DATES:
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Submission deadline: April 12, 2017 (extended)
Notification of paper acceptance: May 01, 2017
Submission of camera-ready papers: May 08, 2017
Maximum paper length: 6 pages (no additional pages allowed)


VENUE:
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Aquila Atlantis Hotel, Heraklion, Crete, Greece
http://www.theatlantishotel.gr/


FOR ANY OTHER INFORMATION http://icts4ehealth.icar.cnr.it/