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[ontolog-forum] Call for Papers: The First Workshop on Expanding the Bou

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: Xing Tan <xing.tan@xxxxxxxxx>
Date: Mon, 25 Feb 2013 09:39:34 -0500
Message-id: <CADwL4B_Kh-Z8t9hSUF6E3o44EzaNXGjU1JyqXnAOYtKh86Xjtw@xxxxxxxxxxxxxx>
Call for Papers: Welcome to the First Workshop on Expanding the
Boundaries of Health Informatics Using Artificial Intelligence (HIAI)
Co-located with The Twenty-Seventh AAAI Conference (AAAI-13)
July 14-18, 2013 in Bellevue, Washington, USA    (01)

http://www.adventiumlabs.com/HIAI13    (02)

Jan. 25th 2013 - Program Committee members added. Thank you to all the
Jan. 15th 2013 - Dr. Mark Musen added to the program as the opening speaker
Jan. 4th 2013 - Website online    (03)

Workshop Description
The rapid development and expansion of health informatics is
demonstrated by the proliferation of electronic patient records and
transition to computer-based patient treatment tools and point-of-care
informatics infrastructure. Accelerating its growth is the increasing
availability of medical information such as evidence-based clinical
guidelines and results of clinical studies including randomized
trials. Unfortunately, the rate of growth combined with improved data
availability leads to health information overload that can severely
impair clinical work and adversely affect health-related
decision-making. AI techniques are very well suited to help overcome
this problem
and can facilitate advances in the health informatics area that can
have a profound effect on patient outcomes. As such, a true
exists to shape the future of healthcare systems through the
application of AI to address a number of emerging health system
problems.    (04)

AI techniques can help not only with collecting, organizing and
storing volumes of personal and population data (including sensitive
patient information), but also with analyzing data and information
with the purpose of facilitating data-driven and evidence-based
decision making. The latter can be achieved by identifying and
presenting health practitioners with pertinent medical information and
knowledge when it is needed. Challenges lie in both determining what
is relevant medically and contextually, and when and in it what form
it is appropriate to provide this information and knowledge. For
example, presenting disease- and treatment-relevant information to a
physician at the point of care during a patient encounter enables the
development of decision support tools that lead to improved patient
outcomes and has a positive societal impact. Developing (and
deploying) intelligent health systems is a research area ripe for AI
techniques where advances are needed to tackle real-world healthcare
problems such as disease identification and management, drug-drug
and drug-disease interaction, and patient education.    (05)

The purpose of the workshop is to bring together health informatics
researchers working on AI research and AI researchers working on
methodological research applied to health informatics, for them to
share results of their research.    (06)

This workshop focuses on AI-based methodological and application
contributions in health informatics and its aim is to foster
opportunities for collaborative research within a multi-discipline
research community that offers expertise in medicine, bioinformatics,
computer and information science. Topics of interest are divided into
two key themes (but not limited to):
A. Health knowledge - discovery, management and use
  1. Knowledge discovery in medical data using data mining
  2. Natural language processing and information retrieval for textual resources
  3. Knowledge engineering and management using biomedical ontologies
  4. Clinical decision making and reasoning, including case-based
reasoning and clinical practice guidelines (CPGs)
  5. Personalization of patient care    (07)

B. Intelligent health systems
  1. Clinical decision support systems (CDSS)
  2. Multi-agent health systems
  3. Telemedicine and consumer health informatics
  4. Assisted living environments    (08)

The detailed program is coming soon...    (09)

The program of the one-day workshop will begin with an opening talk by
Dr. Mark Musen. The remainder of the presentations will be divided
into two sessions organized around the two themes defined above, and
the program will conclude with a panel discussion. The first session
will focus on methodological papers centered around health knowledge.
It will start with an invited talk given by Dr. Barry O'Sullivan on
the challenges and opportunities for applying constraint programming
to gaining health knowledge. The other section will look at
intelligent health systems and it will begin with an invited talk by
Dr. Jay M. Tenenbaum describing opportunities to apply human and
machine intelligence to organize and refine the world's knowledge
about treating cancer. The talk will discuss AI topics for medicine
including text mining, machine learning, crowdsourcing and others, and
it will update his work on Cancer Commons presented at his keynote
IAAI'10 talk and in the AI magazine article "Cancer: A Computational
Disease that AI Can Cure". A summarizing discussion panel will provide
an opportunity for attendees to ask questions of and share their
thoughts with invited panel experts on the topic of "AI and the
of Patient Care: Challenges and Solutions".    (010)

Please submit all papers via EasyChair.
https://www.easychair.org/account/signin.cgi?conf=hiai13    (011)

Potential participants are invited to submit either a full-length
technical paper or a short position or demonstration paper. Technical
papers must be no longer than six (6) pages in length, including
references and figures. Short submissions can be up to 4 pages in
length and describe a position on a topic of the workshop or a
demonstration/tool. Submissions are accepted in PDF format only, using
the AAAI formatting guidelines and including author names.    (012)

Additionally, selected submissions will be invited to submit an
extended version of their work to a proposed special track on AI in
Health in the Journal of Artificial Intelligence Research (JAIR).    (013)

Important Dates
March 28, 2013: Submission deadline
April 19, 2013: Acceptance notification
May 9, 2013: Camera-ready deadline
July 14-15, 2013: Workshop program at AAAI    (014)

Workshop Organizers
Martin Michalowski, Chair (Adventium Labs, martin.michalowski@xxxxxxxxxxxxxxxxx)
Wojtek Michalowski, Co-chair (University of Ottawa)
Dympna O'Sullivan, Co-chair (City University London)
Szymon Wilk, Co-chair (Poznan University of Technology)    (015)

Contact Information
For additional information, please visit the supplemental workshop
site. General questions concerning the workshop should be addressed to
Martin Michalowski (martin.michalowski@xxxxxxxxxxxxxxxxx).    (016)

Program Committee
   - Jose Luis Ambite, Information Sciences Institute, University of
Southern California, USA
   - Naveen Ashish, University of California-Irvine, USA
   - David Buckeridge, McGill University, Canada
   - Chris Buckingham, Aston University, UK
   - Yao-Yi Chiang, Information Sciences Institute, University of
Southern California, USA
   - Karen Church, Telefonica Barcelona, Spain
   - Jacomo Corbo, Telfer School of Management, University of Ottawa, Canada
   - Jesse Davis, Katholieke Universiteit Leuven, Belgium
   - Kathrin Dentler, Faculty of Sciences, Vrije Universiteit, Netherlands
   - Julie Doyle, CASALA, DKIT, Ireland
   - Aniko Ekart, Aston University, Birmingham, UK
   - Dan Goldberg, Texas A&M University, USA
   - Philip Gooch, Kings College London, UK
   - William Klement, University Health Network , University of Toronto, Canada
   - Andrey Kolobov, University of Washington, USA
   - Krzysztof Krawiec, Poznan University of Technology, Poland
   - Stan Matwin, Dalhousie University, Canada
   - Matt Michelson, InferLink, USA
   - Krystyna Milian, Vrije Universiteit, Netherlands
   - Jerzy Stefanowski, Poznan University of Technology, Poland
   - Simone Stumpf, City University London, UK
   - Xing Tan, University of Ottawa, Canada
   - Peter Weller, City University London, UK
   - David Wilson, University of North Carolina at Charlotte, USA    (017)

Sponsorship for the workshop is provided by:
Adventium Labs    (018)

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