Mir S. Siadaty|Jianfen Shu|William A. Knaus
Relemed: sentence-level search engine with relevance score for the MEDLINE database of biomedical articles
University of Virginia|University of Virginia|University of Virginia
receiving extraneous articles response query submitted medlinepubmed common submitting multiword query majority queries submitted presence query words within article may necessary condition retrieving relevant articles sufficient ideally relationship query words article also required propose two words occur within article probability relation explained higher words occur within adjacent sentences versus remote sentences therefore sentencelevel concurrence used surrogate existence relationship words order avoid irrelevant articles one solution would increase search specificity another solution estimate relevance score sort retrieved articles however among 30 retrieval services available medline estimate relevance score none detects incorporates relation query words part relevance scorewe developed relemed search engine medline relemed increases specificity precision retrieval searching query words within sentences rather whole article uses sentencelevel concurrence statistical surrogate existence relationship words also estimates relevance score sorts results basis thus shifting irrelevant articles lower list two case studies demonstrate relevant articles appear top relemed results necessarily case pubmed search also shown relemed search includes articles retrieved pubmed potentially additional relevant articles due extended automatic term mapping textword searching features implemented relemedby using sentencelevel matching relemed deliver higher specificity thus eliminating falsepositive articles introducing appropriate relevance metric relevant articles user wishes focus listed first relemed also shrinks displayed text hence time spent scanning articles