| |||||||||||||||
DANTH 2013 : The First International Workshop on Data Analytics for Targeted Healthcare | |||||||||||||||
Link: http://www.sci.usq.edu.au/danth13 | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
[Apologies if you receive this more than once]
################################################################## The First International Workshop on Data Analytics for Targeted Healthcare (DANTH '13) Gold Coast, Australia 14 April 2013 CALL FOR PAPERS ################################################################## The first International Workshop on Data Analytics for Targeted Healthcare (DANTH '12)In Conjunction with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Australia, 14 April, 2013. Homepage: http://www.sci.usq.edu.au/danth13 ################################################################## # Full paper submission: *** 30 December 2012 *** # Notification of acceptance: 31 January 2013 # Camera-ready submission: 15 February 2013 # Workshop: 14 April 2013 ################################################################## To succeed in transforming healthcare, many countries will need to move to more targeted healthcare. Successful migration must encourage innovation, provide access to more complete patient information and incorporate advanced clinical knowledge into clinical decision-making. Aiming at successfully transforming healthcare, 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. Targeting on these interesting questions, the 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 NOT LIMITED TO - Healthcare Management Systems - Databases and Data Management - Data mining, knowledge discovery, decision making support - Pattern recognition, Sequence Analysis, and Machine Learning - System interoperability, ontology and standardization - Bioinformatics - Brain informatics - Image Analysis and Processing - Neural Networks - Medical Signal Acquisition, Analysis and Processing - Telemedicine - Semantic Interoperability - Health information visualization - Computational Molecular Systems - Support tools and languages for health information-system development - Medical Data Collection and Processing - Human-Machine Interface / Ambient Intelligence - Modelling of Physical and Conceptual Information - User Profiles and Personalised Healthcare - Social, Privacy, and Security Issues in Healthcare - Evaluation and use of Healthcare IT - Software Systems in Medicine - Pervasive Health Systems and Services - Practice-based Research Methods for Healthcare IT - Web Services in Bioinformatics - Fuzzy Systems and Signals - Infodemiology, public health surveillance ++++++++++++++++++++++++++++++++++++ On-Line Submissions and Publication ++++++++++++++++++++++++++++++++++++ Each submitted paper should include an abstract up to 200 words. It should not 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. The workshop proceedings in Springers LNAI series will be post conference and published in the second half of 2013. 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. ++++++++++++++++++++++++ Special Issue ++++++++++++++++++++++++ Health Information Science and Systems, Biomed and Springer (http://www.hissjournal.com/) ++++++++++++++++++++++++ Organising Committee ++++++++++++++++++++++++ GENERAL CHAIR * Yanchun Zhang Victoria University, Australia * Michael Ng Hong Kong Baptist University, China PROGRAM CO-CHAIR * Xiaohui Tao University of Southern Queensland, Australia * Guandong Xu University of Technology, Sydney, Australia * Yidong Li Beijing Jiaotong University, China * Hongmin Cai South China University of Technology, China PROGRAM COMMITTEE (To Be Extended) * Ling Chen University of Technology, Sydney * Peter Dolog Aalborg University, Denmark * Yan Li University of Southern Queensland, Australia * Xue Li University of Queensland, Australia * Chaoyi Pang CSIRO, Australia * Jeffrey Soar University of Southern Queensland, Australia * Weifeng Su United International College, China * Guoyin Wang Chongqing Uni of Posts and Telecom, China * Xin Wang University of Calgary, Canada * Zhiang Wu Nanjing University of Finance and Economics, China * Zongda Wu Wenzhou University, China * Xiaoyin Xu The Brigham Women’s Hospital, USA * Yue Xu Queensland University of Technology, Australia * Zhenglu Yang University of Tokyo, Japan * Neil Yen The University of Aizu, Japan * Yanchang Zhao RDataMining.com, Australia * Xiaobo Zhou The Methodist Hospital, USA ++++++++++++++++++++++++ Contact Information ++++++++++++++++++++++++ * Xiaohui Tao xtao@usq.edu.au * Guandong Xu guandong.xu@uts.edu.au * Yidong Li ydli@bjtu.edu.cn * Hongmin Cai hmcai@scut.edu.cn |
|