Louhi 2014 - The Fifth International Workshop on Health Text Mining and Information Analysis

The Fifth International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents. The Louhi workshop series started in 2008 in Turku, Finland and has been organized four times. Louhi 2010 was co-located with NAACL in Los Angeles and Louhi 2011 with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia. The last edition, Louhi 2013, was held in Sydney.
Louhi 2014 is soliciting long and short papers describing original research. Long papers (8 pages excluding references) must describe substantial and completed work. Short papers (4 pages excluding references) typically describe a focused contribution, a negative result, a software package or work in progress. The areas include, but are not limited to, the following language processing techniques and related areas:
Techniques supporting information extraction, e.g. named entity recognition, negation and uncertainty detection
Classification and text mining applications (e.g. diagnostic classifications such as ICD-10 and nursing intensity scores) and problems (e.g. handling of unbalanced data sets)
Text representation, including dealing with data sparsity and dimensionality issues
Domain adaptation, e.g. adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain
Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation
Unsupervised methods, including distributional semantics
Evaluation, gold/reference standard construction and annotation
Syntactic, semantic and pragmatic analysis of health documents
Anonymization / de-identification of health records and ethics
Supporting the development of medical terminologies and ontologies
Individualization of content, consumer health vocabularies, summarization
and simplification of text
NLP for supporting documentation and decision making practices
Predictive modeling of adverse events, e.g. adverse drug events and hospital acquired infections
We welcome submissions on topics related to text mining of health documents, particularly emphasizing multidisciplinary aspects of health documentation and the interplay between nursing and medical sciences, information systems, computational linguistics and computer science. We also encourage submissions reporting on work for minor languages, representing the diverse challenge that traits in different languages pose to common tasks.
Submissions go through a rigorous, double-blind review process, where each submission is reviewed by three program committee members. The initial manuscript submission should not include acknowledgments, authors' names or their affiliations. In addition, extensive referring to own previous work should be avoided. 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. Similar to previous Louhi workshops, we will offer the possibility to publish extended papers in a special issue in a high-impact journal, e.g. Artificial Intelligence in Medicine as for Louhi 2013.
Workshop date is April 27, 2014 in Göteborg, Sweden.
3. Organizers
Louhi 2014 is organized by the Clinical Text Mining Group at the Department of Computer and Systems Sciences (DSV) at Stockholm University.
Chair: Sumithra Velupillai
Program Co-chairs: Hercules Dalianis, Maria Kvist and Martin Duneld
Publication Chair: Martin Duneld
Local Organization Chairs: Maria Skeppstedt and Aron Henriksson
4. Programme Committee
Anette Hulth, Swedish Institute for Infectious Disease Control, Karolinska Institutet, Sweden
Antti Airola, University of Turku, Finland
Barbro Back, Åbo Akademi University, Finland
Beáta Megyesi, Uppsala University, Sweden
David Martinez, NICTA, Australia
Dimitris Kokkinakis, University of Gothenburg, Sweden
Filip Ginter, University of Turku, Finland
Gintaré Grigonyté, Stockholm University, Sweden
Hanna Suominen, NICTA, Australia
Henning Müller University of Applied Sciences Western Switzerland, Switzerland
Jon D. Patrick, Health Language Laboratories, Australia
Jong C. Park, KAIST Computer Science, Korea
Jussi Karlgren, KTH, Royal Institute of Technology, Sweden
Lawrence Cavedon, RMIT University, Australia
Mats Wirén, Stockholm University, Stockholm
Özlem Uzuner, MIT, U.S.
Pierre Zweigenbaum, LIMSI, Computer Sciences Laboratory for Mechanics and Engineering Sciences, France
Richárd Farkas, Institute of Informatics, Hungary
Sabine Bergler, Concordia University, Canada
Sampo Pyysalo, University of Tokyo, Japan
Sanna Salanterä, University of Turku, Finland
Sophia Ananiadou, University of Manchester, U.K.
Stefan Schulz, Graz General Hospital and University Clinics, Austria
Stephen Anthony, The Kirby Institute for infection and immunity in society, Australia
Tapio Salakoski, University of Turku, Finland
Thomas Brox Røst, Norwegian University of Science and Technology, Norway
Wray Buntine, NICTA, Australia