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

Proc AMIA Symp. 2000;903-7.

Abstract

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].

MeSH terms

  • Drug-Related Side Effects and Adverse Reactions
  • Fish Oils / therapeutic use*
  • Humans
  • Information Storage and Retrieval*
  • MEDLINE*
  • Natural Language Processing*
  • Pharmacoepidemiology
  • Raynaud Disease / therapy*
  • Unified Medical Language System
  • Vocabulary, Controlled

Substances

  • Fish Oils