[Corpora-List] Call for Papers- Third Louhi Workshop on Health Documentation Text Mining and Information Analysis
Laura Slaughter
lauras at idi.ntnu.no
Wed Mar 2 15:55:11 UTC 2011
*** Apologies for multiple postings ***
*** CALL FOR PAPERS ***
Third Louhi Workshop on Health Documentation Text Mining and
Information Analysis
July 6, Bled, Slovenia. Collocated with AIME 2011
https://sites.google.com/site/louhi2011/call-for-papers
Submission Deadline: April 21, 2011
Submission Instructions: Louhi 2011 will only accept electronic
submission via its EasyChair submission system (https://www.easychair.org/account/signin.cgi?conf=louhi2011
). The submissions should be in PDF format and anonymized for review.
The Third Louhi one-day workshop on Health Documentation Text Mining
and Information Analysis is a multidisciplinary international
workshop, bringing together researchers performing research on health
documents. Health documents encompass, but are not limited to,
electronic patient records, clinical documentation, discharge letters,
care guidelines, scientific text and data related to biohealth, etc.
The Third Louhi conference follows Louhi 08, the First conference on
Text and Data Mining of Clinical Documents, Turku, Finland, 2008 (http://www.it.utu.fi/louhi/
) and Louhi 10 the Second Louhi Workshop on Text and Data Mining of
Health Documents in Los Angeles, California (http://dsv.su.se/en/louhi10/
).
Louhi 2011 is calling for papers presenting original research, case
studies or work-in-progress related to the following areas:
Processing of clinical documents, including topics such as:
Classification and analysis of text content.
Mixed source documents, and combinations of text and encoded/
structured information.
Discourse, dialogue, and pragmatics.
Information extraction.
Removal of sensitive and identifying information.
Information retrieval.
Knowledge acquisition.
Language generation.
Language resources, evaluation methods and metrics, science of
annotation.
Use of lexical, ontological, semantic resources.
Machine translation.
Statistical and and symbolic machine learning methods.
Summarization.
Sentiment analysis.
Automated coding and structuring.
Text mining.
Interactive and dialogue-based documentation and text production.
Referent tracking and management.
Textual entailment and paraphrasing.
Topic and text classification.
Word sense disambiguation.
Intelligent re-use of clinical documentation, including:
Clinical decision making and guidelines based on clinical documentation.
Automated reasoning and metareasoning using clinical documentation.
Use of clinical documentation within clinical trials, eScience;
research-support information systems, workflow support.
Computer-Supported Cooperative Work and Human-Computer Interaction, as
well as Information Visualization based on clinical documentation and
EHR content.
Collaborative exchange of textual EHR information between provider and
patient; between providers in different organisations; between
different professions.
Personalized medicine based on clinical documentation.
Experience reports from practical applications of:
Text technology in clinical documentation systems
Data mining in clinical documentation systems
We particularly welcome submissions from either academia or industry
emphasizing multidisciplinary aspects of health documentation and the
interplay between clinical professions, patient and provider,
different organizations, human and computer. We strongly encourage
submissions reporting on work for minor languages, representing the
diverse challenge that traits in different languages pose to common
tasks.
Submitted papers should describe original work. Simultaneous
submission to other forums (e.g. other conferences with published
proceedings) is not allowed. A significant overlap in contents with
previously published work should be clearly indicated to the program
committee.
Papers should be written in English, according to Springer LNCS format
(available here:http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0)
and should not exceed 6 pages including figures, tables and
references. Please indicate in the submission system whether it is a
research, case study or work-in-progress paper. Louhi 2011 will only
accept electronic submission via its Easychair submission server. The
submissions should be in PDF format and anonymised for review.
All submissions are double-blind peer reviewed by two program
committee members. For double-blind peer review, the initial
manuscript submission should not include acknowledgments, authors'
names or their affiliations. In addition, extensive referring to own
previous work should be avoided and when referring to own previous
works, the authors should do it in third person. The submissions will
be judged on originality, relevance, technical quality and presentation.
Papers will be presented by the authors in a regular workshop session.
All accepted papers will be published in the workshop proceedings.
Selected papers from Louhi'08 were published in International Journal
of Medical Informatics, Volume 78, Issue 12, Pages 785-850 (December
2009) Mining of Clinical and Biomedical Text and Data, Special Issue
Edited by Helena Karsten, Barbro Back, Sanna Salanterä, Tapio
Salakoski; selected papers from Louhi'10 were published in the Journal
of Biomedical Semantics for a special issue in Text and Data Mining of
Health Documents. Selected papers will be proposed for publication in
a journal. This is still under negotiation.
Important Dates:
Submission: 21 Apr, 2011
Notification: 15 May, 2011
Camera-ready: 8 Jun, 2011
Workshop: 6 Jul, 2011
Location:
At AIME 2011, in Bled, Slovenia, July 6, 2011
Chair:
Øystein Nytrø, Dept. of Computer and Information Science, Norwegian
University of Science and Technology, Trondheim
Organizers:
Øystein Nytrø, associate professor, email: nytroe at idi.ntnu.no
Laura Slaughter, PhD, email: lauras at idi.ntnu.no
Hans Moen, email: hansmoe at idi.ntnu.no
Address:
Department of Computer and Information Science
Norwegian University of Science and Technology (NTNU)
Sem Sælands vei 7-9
7491 Trondheim
General correspondence: louhi11 at idi.ntnu.no
Programme committee:
- Wendy Chapman, University of Pittsburgh, USA
- Filip Ginter, University of Turku, Finland
- Dimitrios Kokkinakis, University of Gothenburg, Sweden
- Anette Hulth, Swedish Institute for Infectious Disease Control, Sweden
- Tapio Pahikkala, University of Turku, Finland
- Sampo Pyysalo, University of Tokyo, Japan
- Sanna Salanterä, University of Turku, Finland
- Laura Slaughter, Norwegian University of Science and Technology,
Norway
- Hanna Suominen, National ICT Australia, Australia
- György Szarvas, Technical University of Darmstadt, Germany
- Ozlem Uzuner, University at Albany, State University of New York, USA
- Pierre Zweigenbaum, The Computer Sciences Laboratory for Mechanics
and Engineering Sciences, France
- Hercules Dalianis, Stockholm University, Sweden
- Farkas Richárd, University of Szeged, Hungary
- Sumithra Velupillai, Stockholm University, Sweden
- Wray Buntine, NICTA, Australia
- Yannis Korkontzelos, The National Centre for Text Mining, UK
- Thomas Brox Røst, Norwegian University of Science and Technology,
Norway
- Björn Gambäck, Norwegian University of Science and Technology, Norway
- Martin Hassel, Stockholm University, Sweden
- Rune Sætre, Norwegian University of Science and Technology, Norway
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