Relemed: Sentence-level search engine with relevance score for the MEDLINE database of biomedical articles
Relemed: Sentence-level search engine with relevance score for the MEDLINE database of biomedical articles
"We have developed Relemed, a search engine for MEDLINE. Relemed increases specificity and precision of retrieval by searching for query words within sentences rather than the whole article. It uses sentence-level concurrence as a statistical surrogate for the existence of relationship between the words. It also estimates a relevance score and sorts the results on this basis, thus shifting irrelevant articles lower down the list. In two case studies, we demonstrate that the most relevant articles appear at the top of the Relemed results, while this is not necessarily the case with a PubMed search. We have also shown that a Relemed search includes not only all the articles retrieved by PubMed, but potentially additional relevant articles, due to the extended automatic term mapping and text-word searching features implemented in Relemed."
+ Full Paper (PDF; 583 KB)
Source: BioMed Central Medical Informatics and Decision Making
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