Relemed: sentence-level search engine with relevance score for the MEDLINE database of biomedical articles.

ABSTRACT:

Background

Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words within each article may be a necessary condition for retrieving relevant articles, but not sufficient. Ideally a relationship between the query words in the article is also required. We propose that if two words occur within an article, the probability that a relation between them is explained is higher when the words occur within adjacent sentences versus remote sentences. Therefore, sentence-level concurrence can be used as a surrogate for existence of the relationship between the words. In order to avoid the irrelevant articles, one solution would be to increase the

SUBMITTER: Siadaty MS 

PROVIDER: S-EPMC1780044 | biostudies-literature | 2007 Jan

REPOSITORIES: biostudies-literature