Implicit Text Linkages between Medline Records: Using Arrowsmith as an Aid to Scientific Discovery.
Year: 1999
Type: article
Abstract: THEPROBLEM OF HOW TO FIND INTERESTING but previously unknown implicit information within the scientific literature is addressed.Useful information can go unnoticed by anyone, even its creators, if it can be inferred only by considering together two (or more) separate articles neither of which cites the other and which have no authors in common.The two articles (or two sets ofarticles) are in that case said to be complementary and noninteractive.During the past twelve years, this project has uncovered and reported numerous complementary relationships in the biomedical literature that have led to new information of scientific interest.Several of these literature-based discoveries subsequently have been corroborated through clinical or laboratory investigations.We describe how to use software that can create suggestive juxtapositions of Medline records, the purpose being to help biomedical researchers detect new and useful relationships.This software, called Arrowsmith, has also proved valuable as a tool for investigating patterns of complementary relationships in natural language text (Arrowsmith can be used free of charge at http://kiwi.
Authors: Don R. Swanson, Neil R. Smallheiser
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W1937220210