Text-based discovery in biomedicine: The architecture of the DAD-system

M Weeber*, H Klein, AR Aronson, JG Mork, LTW de Jong-van den Berg, R Vos

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

82 Citaten (Scopus)


Current scientific research takes place in highly specialized contexts with poor communication between disciplines as a likely consequence. Knowledge from one discipline may be useful for the other without researchers knowing it. As scientific publications area condensation of this knowledge, literature-based discovery tools may help the individual scientist to explore new useful domains. We report on the development of the DAD-system, a concept-based Natural Language Processing system for PubMed citations that provides the biomedical researcher such a tool. We describe the general architecture and illustrate its operation by a simulation of a well-known text-based discovery: The favorable effects of fish oil on patients suffering from Raynaud's disease [1].

Originele taal-2English
Pagina's (van-tot)903-907
Aantal pagina's5
TijdschriftJournal of the American Medical Informatics Association
StatusPublished - 2000
EvenementAnnual Symposium of the American-Medical-Informatics-Association -
Duur: 4-nov-20008-nov-2000

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