Text-based discovery in biomedicine: the architecture of the DAD-system.
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].
Weeber
M
M
Social Pharmacy and Pharmacoepidemiology, Groningen University Institute for Drug Exploration, Groningen, The Netherlands.
Klein
H
H
Aronson
A R
AR
Mork
J G
JG
de Jong-van den Berg
L T
LT
Vos
R
R
D064420:Drug-Related Side Effects and Adverse Reactions; D005395:Fish Oils / Q000627:therapeutic use*; D006801:Humans; D016247:Information Storage and Retrieval; D016239:MEDLINE; D009323:Natural Language Processing; D017891:Pharmacoepidemiology; D011928:Raynaud Disease / Q000628:therapy*; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled
D005395:Fish Oils