[Corpora-List] Journal of Biomedical Informatics Special Issue on Mining the Pharmacovigilance Literature

[Isabel Segura]

First call for Papers: Journal of Biomedical Informatics Special Issue on
Mining the Pharmacovigilance Literature
Guest Editors: Isabel Segura-Bedmar, Paloma Martínez
Computer Science Department
Universidad Carlos III de Madrid, Spain



We are pleased to announce a Special Issue of the Journal of Biomedical
Informatics on Mining the Pharmacovigilance Literature. For detailed
information, please see
http://www.journals.elsevier.com/journal-of-biomedical-informatics/call
-for-papers/special-issue-on-mining-the-pharmacovigilance-literature/.

Pharmacovigilance is formally defined by WHO as ‘‘the science and
activities related to the detection, assessment, understanding and
prevention of adverse effects or any other drug-related problems’’. Text
Mining applied to the pharmacovigilance literature can be of great benefit
in the pharmaceutical industry, allowing identification and extraction of
relevant information, and providing an interesting way to reduce the time
spent by healthcare professionals and researchers who are trying to stay
current by reviewing the literature.

We encourage you to submit your articles for this special issue on
automatic extraction of relationships between biomedical entities relevant
to the Pharmacovigilance field. More specifically, we are interested in
papers that present new and novel approaches for the extraction of
drug–drug interactions (DDI) and drug side-effects relationships from
biomedical texts.

We particularly welcome submissions that use the DDI corpus (
http://labda.inf.uc3m.es/ddicorpus) because their results can be compared
with those reported in DDIExtraction 2013 (
http://www.cs.york.ac.uk/semeval-2013/task9/). In order to advance in the
extraction of drug–side effects relationships, we also welcome
contributions on the creation of gold standard corpora annotated with
drug–side effects.

Topics of interest for submission to this special issue include (but are
not limited to):
•    Corpus development for pharmacovigilance text mining.
•    Named entity recognition for pharmacological substances and side
effects.
•    Relation extraction between drugs, particularly DDIs.
•    Relation extraction between drugs and side effects.
•    The creation and use of ontologies to represent knowledge relevant to
drug interactions and adverse drug effects.
•    The use of biomedical ontologies in combination with text mining to
facilitate the detection of Adverse Drug Reactions (ADRs) and DDIs.
•    Review of the state of the art in text mining for pharmacovigilance.


Submission deadline: *September 30, 2014*

All submitted papers must be original and will undergo a rigorous
peer-review process with at least two reviewers. All submissions should
follow the guidelines for authors, available at the Journal of Biomedical
Informatics web site (
http://www.journals.elsevier.com/journal-of-biomedical-informatics).

Authors must submit their paper by September 30, 2014 via the online
Elsevier Editorial System (EES) at http://ees.elsevier.com/jbi.

Please feel free to contact us if you need any further information.

With our best regards,

Isabel Segura-Bedmar and Paloma Martínez


-- 
Isabel Segura Bedmar
Profesor Visitante
Despacho 2.1.C.15, Telf: 91 624 59 61
Departamento de Informática, Universidad Carlos III de Madrid,
Laboratory for Advanced Database (LABDA)
http://labda.inf.uc3m.es/doku.php?id=en:inicio
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