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 .
|Tijdschrift||Journal of the American Medical Informatics Association|
|Status||Published - 2000|
|Evenement||Annual Symposium of the American-Medical-Informatics-Association - |
Duur: 4-nov-2000 → 8-nov-2000