Introduction
The Seventh 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 fosters interactions between the Computational Linguistics, Medical Informatics and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized five times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; and LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal. LOUHI 2016 is soliciting papers describing original research. Papers must describe substantial and completed work but also focus on a contribution, a negative result, a software package or work in progress.
Call for paper
Important date
Submission Topics
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Techniques supporting information extraction, e.g. named entity recognition, negation and uncertainty detection
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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)
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Text representation, including dealing with data sparsity and dimensionality issues
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Domain adaptation, e.g. adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain
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Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation
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Unsupervised methods, including distributional semantics
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Evaluation, gold/reference standard construction and annotation
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Syntactic, semantic and pragmatic analysis of health documents
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Anonymization / de-identification of health records and ethics
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Supporting the development of medical terminologies and ontologies
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Individualization of content, consumer health vocabularies, summarization and simplification of text
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NLP for supporting documentation and decision making practices
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Predictive modeling of adverse events, e.g. adverse drug events and hospital acquired infections
All Comments
Important Date
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Conference Date
Nov 02
2016
toNov 06
2016
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Aug 05 2016
Draft paper submission deadline
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Nov 06 2016
Registration deadline
Contact Information
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