Text-based discovery in biomedicine: the architecture of the DAD-system
Weeber, M. (Creator), Klein, H. (Creator), Aronson, A. R. (Creator), Mork, J. G. (Creator), de Jong-van den Berg, L. T. (Creator), Vos, R. (Creator)
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 are a 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]
Downloadable Archival Material, English, uuuu
American Medical Informatics Association, uuuu