With thanks from Biomedbiblog: Relemed: Sentence-level search engine with relevance score for the MEDLINE database of biomedical articles. BMC Medical Informatics and Decision Making 2007,

“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.


By using
sentence-level matching, Relemed can deliver higher specificity, thus
eliminating more false-positive articles. By introducing an appropriate
relevance metric, the most relevant articles on which the user wishes
to focus are listed first. Relemed also shrinks the displayed text, and
hence the time spent scanning the articles.“
Full-text (PDF; 583 KB)

Uit Resourceshelf:

See Also: Natural Language Interface to Medline/PubMed

See Also: PICO (Patient, Intervention, Comparison, Outcome) Interface to Medline/PubMed

See Also: Mobile Interface to Medline/PubMed

See Also: Mobile Interface to Medline/PubMed Journal Browser