[Corpora-List] CFP: International Workshop on Data Analytics for Evidence-based Healthcare (DAEBH'15), Ho Chi Minh City, Viet Nam, 19 May 2015

Diego Molla-Aliod diego.molla-aliod at mq.edu.au
Tue Feb 3 06:35:09 CET 2015


[Apologies if you receive this more than once] ######################################################################

International Workshop on Data Analytics for Evidence-based Healthcare

(DAEBH'15)

Ho Chi Minh City, Viet Nam, 19 May 2015

CALL FOR PAPERS

(workshop webpage under development) ######################################################################

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.

###################################################################### Full paper submission: 2 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 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

++++++++++++++++++++++++++++++++++++ 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/).

++++++++++++++++++++++++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 (Tentative)

Miew Keen Choong AIHI, Macquarie University, Australia 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 David Martinez MedWhat.com, USA Mohd Saberi Mohamad Universiti Teknologi Malaysia, Malaysia 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 Neil Yen The University of Aizu, Japan Yanchang Zhao RDataMining.com, Australia Ji Zhang University of Southern Queensland, Australia

(More to be confirmed)

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

--

*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

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