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Linking with BIAM: searching for drugs and pharmaceutical substances

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Języki publikacji
EN
Abstrakty
EN
The quantity of biomedical publications is growing at an exponential rate. With such explosive growth of the content, it is more and more difficult to locate, retrieve and manage the resulting information. This is why text mining has become a necessity. The main goal of biomedical research is to put knowledge to practical use in the form of diagnoses, prevention, and treatment. It is important to pool the resources between the different individuals researching results. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Information Retrieval and Text Mining methods in biomedicine. The article will first look at the directions in biomedical TM and then describe the work done for the BIAM project, the French on-line Medical Data Base.
Twórcy
  • Ecole Supérieure d'Ingenieurs en Informatique et Génie de Télécommunication, 77-215 Avon Fontainebleau, France
Bibliografia
  • [1] ANANIADU S., Text Mining for Biology and Biomedicine, Boston and London: Artech House, 2006, 286 pp; hardbound, ISBN 1-58053-984-X.
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  • [7] DZICZKOWSKI G, WEGRZYN-WOLSKA K., Graph Based System purpose-built for automatic retrieval and extraction of the electronics, In Proceeding of "Internet and Multimedia Systems and Applications" IASTED, 2007.
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  • [11] SPASIC I., ANANIADU S, McNAUGHTt J, KUMAR A, Text mining and ontologies in biomedicine: making sense of raw text. Brief Bioinform, Vol. 6, No. 3., pp. 239-251, September 2005.
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  • [13] WEGRZYN-WOLSKA K, Etude et realisation d'un robot pour la recherché medical d'information sur le Web, Rapport DEA d'Informatique, Université d'Evry-Val-d'Essonne, Doc. E/193/CRI, 1996.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0027
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