The 2015 International Workshop on Data Analytics for Evidence-based Healthcare

Event Notification Type: 
Call for Papers
Abbreviated Title: 
DAEBH'15
Location: 
Rex Hotel
Tuesday, 19 May 2015
Country: 
Viet Nam
Contact Email: 
City: 
Ho Chi Minh City
Contact: 
Susan Zhou
Submission Deadline: 
Monday, 2 March 2015

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International Workshop on Data Analytics for Evidence-based Healthcare
(DAEBH'15)
Ho Chi Minh City, Viet Nam, 19 May 2015
CALL FOR PAPERS
http://aihi.mq.edu.au/DAEBH2015/
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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.

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Full paper submission: 2 March 2015
Notification of acceptance: 29 March 2015
Camera-ready submission: 12 April 2015
Workshop date: 19 May 2015
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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 practise 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

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On-Line Submissions and Publication
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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/).

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

GENERAL CHAIR

Professor Yanchun Zhang, Victoria University, Melbourne, Australia

PROGRAM CO-CHAIRS

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

Diego Mollá Aliod Macquarie University, Australia

Oscar Perez Concha Australia 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 Dolong 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 and
Technology, Pakistan
Mohd Saberi Mohamad Universiti Teknologi Malaysia, Malaysia
Anthony Nguyen CSIRO, Australia
Abeed Sarker Arizona State University, USA
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
Ziang Wu Nanjing University of Finance and Economics, China
Neil Yen The University of Aizu, Japan
Ji Zhang University of Southern Queensland, Australia
Yanchang Zhao RDataMining.com, Australia

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