AAAI
2012 Fall Symposium on
Information
Retrieval and Knowledge Discovery
in Biomedical Text
November
2-4, 2012
Arlington, VA, USA
The
amount of biological and medical literature has grown exponentially within the
last decade. This data may be in the form of journal citations in PubMed, in
the form of clinical summaries in healthcare institutions or in the form of
blogs and user comments that express personal opinions on the different
healthcare topics such as drug adverse effects or disease treatments. This
material, be it expressed by researchers, medical professionals or medical care
receivers, is of significant importance in terms of the wealth of information
that it possesses. However it is only valuable if efficient and reliable ways
of accessing and analyzing that information are available.
In this
symposium we would like to address the current research on computational
techniques for information retrieval and knowledge discovery from biomedical
and clinical texts, with a focus on machine learning and/or natural language
processing, as well as novel applications of existing techniques to the open
problems in text processing in biomedical domain. We will invite several
speakers from the biomedical text processing community who will present current
research problems in this field, and we will invite contributed talks on novel
learning approaches that can improve the analysis and retrieval of biological
and medical information.
We
invite submissions that address novel or existing algorithmic and methodological
contributions to the spectrum of problems in biomedical text analysis, where
textual resources can include semi-structured and unstructured biomedical text,
clinical text, social media and any other healthcare related text media. For
researchers that wish to report on their existing work we welcome submissions
that review key problems in the field, outline important reflections
considering the current progress and provide guidance to the new researchers to
the state of the art and the new methodologies as they become established. Contacts Rezarta Islamaj: rezarta.islamaj AT nih.gov
Lana
Yeganova: lana.yeganova AT nih.gov |