[BioNLP] Deadline extended: DAEBH'15, Ho Chi Minh City, Viet Nam

Diego Molla-Aliod diego.molla-aliod at mq.edu.au
Wed Mar 4 17:02:05 PST 2015


Paper submission due date has been extended to 09 March 2015.

Professor Osmar Zaiane and Dr. Guy Tsafnat have kindly accepted our
invitation and will deliver a keynote speech at the workshop
respectively.

         CALL FOR PAPERS
######################################################################

International Workshop on Data Analytics for Evidence-based Healthcare
(DAEBH'15) in Conjunction with the 19th Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD 2015), Ho Chi Minh City,
Viet Nam, May 19-22, 2015.

homepage: http://aihi.mq.edu.au/DAEBH2015/

######################################################################
Extended full paper submission: 9 March 2015
Notification of acceptance: 29 March 2015
Camera-ready submission: 12 April 2015
Workshop date: 19 May 2015
######################################################################

Healthcare systems around the world are under great pressure to
incorporate evidence-based practices due to the large bodies of
medical evidence available and the problems related to determining how
the clinical evidence applies to specific cases.  These problems are
compounded by the multifaceted changes that our societies are
experiencing: increase of aging population, funding problems, new and
expensive treatments, translating evidence to practice and many more.

In order to successfully transform the healthcare system into a more
efficient system, some interdependent challenges need to be overcome,
such as prevalence of tightly coupled applications and data;
inadequate data and knowledge standards; insufficient analytics
capabilities; unsatisfactory security and privacy methodologies;
absence of a clinical decision-making foundation. Knowledge discovery
and data mining techniques, especially data analytics, have been
proven holding much promise for solving these problems. Providers can
use health care data analytics to learn about patient populations,
enhance preventive care and drive business decisions by accessing key
data such as demographics and chronic conditions. Therefore, nowadays
the healthcare industry requires a much more open, robust health
information technology environment than ever existed, especially the
techniques and methodologies in knowledge discovery and data mining.

Following on the success of DANTH'13 and DANTH'14, the DAEBH 2015
workshop focuses on how data analytics can improve information
management in healthcare.  The workshop will bring together
researchers from different countries and regions to foster
dissemination, increase the share of knowledge cross different
domains, and strengthen the research on data analytic techniques and
related applications to healthcare problems.

+++++++++++++++++++Topics of Interest+++++++++++++++++++

TOPICS AND AREAS INCLUDE, BUT ARE NOT LIMITED TO
-       Healthcare Management Systems
-       Databases and Data Management
-       Data and Text mining
-       Decision Making Support
-       Pattern Recognition and Machine Learning
-       Ontology and Standardization
-       Bioinformatics
-       Medical Image Analysis and Processing
-       Medical Signal Acquisition, Analysis and Processing
-       Health Information Visualization
-       Medical Data Collection and Processing
-       User Profiles and Personalised Healthcare
-       Social, Privacy, and Security Issues in Healthcare
-       Evaluation and use of Healthcare IT
-       Public health Surveillance

++++++++++++++++++++++++++++++++++++
On-Line Submissions and Publication
++++++++++++++++++++++++++++++++++++

Each submitted paper should include an abstract up to 200 words. It
should be no longer than 12 single-spaced pages with 10pt font
size. Authors are strongly encouraged to use Springer LNCS/LNAI
manuscript submission guidelines
(http://www.springer.de/comp/lncs/authors.html) for the initial
submissions.  All papers must be submitted electronically through the
paper submission system in PDF format only. Note that submitting a
paper to the workshop means that if the paper is accepted, at least
one author should attend the workshop to present the paper. For
no-show authors, their affiliations will receive a notification.
Outstanding papers from the workshop will be published in a LNCS/LNAI
post Proceedings of PAKDD Workshops published by Springer.  Extended
versions of the outstanding papers will also be eligible for
publication in the Health Information Science and Systems Journal
(http://www.hissjournal.com/), after further review process.

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
                        Invited Keynote Speakers
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

- Prof. Osmar Zaiane
 Department of Computer Science, University of Alberta, Canada

- Dr. Guy Tsafnat
 Centre for Health Informatics (CHI),
 Australian Institute of Health Innovation (AIHI),
 Macquarie University, Australia

++++++++++++++++++++++++Organising Committee++++++++++++++++++++++++

GENERAL CHAIR

Professor Yanchun Zhang, Victoria University, Melbourne, Australia

PROGRAM CO-CHAIRS

Xujuan Zhou             Australian Institute of Health Innovation
                        (AIHI), Macquarie University, Australia

Diego Mollá Aliod       Macquarie University, Australia

Oscar Perez Concha      Australian Institute of Health Innovation
                        (AIHI), Macquarie University, Australia

STEERING COMMITTEE

Xiaohui Tao             University of Southern Queensland, Australia
Guandong Xu             University of Technology, Sydney, Australia

PROGRAM COMMITTEE MEMBERS

Miew Keen Choong        AIHI, Macquarie University, Australia
Peter Dolog             Aalborg University, Denmark
Adam Dunn               AIHI, Macquarie University, Australia
Tudor Groza             Garvan Institute, Australia
Antonio Jimeno-Yepes    IBM Research Australia
Ritu Khare              The Children’s Hospital of Philadelphia, USA
Simon Kocbek            RMIT University, Australia
Blanca Gallego Luxan    AIHI, Macquarie University, Australia
David Martinez          MedWhat.com, USA
Abdul Mateen            Federal Urdu University of Arts, Science &
Technology, Islamabad Pakistan
Mohd Saberi Mohamad     Universiti Teknologi Malaysia, Malaysia
Anthony Nguyen          CSIRO
Abeed Sarker            Arizona State University, USA
Weifeng Su              United International College, Hong Kong
Laurianne Sitbon        Queensland University of Technology, Australia
Shusaku Tsumoto         Shimane University, Japan
Karin Verspoor          The University of Melbourne, Australia
Xin Wang                University of Calgary, Canada
Zhiang Wu               Nanjing University of Finance and Economics, China
Neil Yen                The University of Aizu, Japan
Yanchang Zhao           RDataMining.com, Australia
Ji Zhang                University of Southern Queensland, Australia


++++++++++++++++++++++++General Enquiry++++++++++++++++++++++++
susan.zhou at mq.edu.au


-- 


*Dr. Diego Mollá-Aliod*

Senior Lecturer

*Department of Computing  |  * Level 3, E6A Building
Macquarie University, NSW 2109, Australia

*T:* +61 2 9850 9531*  |  **F:* +61 2 9850 9551
 http://web.science.mq.edu.au/~diego <http://mq.edu.au>
[image: Macquarie University] <http://mq.edu.au>
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