We proposed a method that suggests subject headings based on user queries when a pattern-matching algorithm fails to locate subject searches for Online Public Access Catalogs (OPAC). We combined information obtained from Wikipedia, Amazon, and Google for query expansion. Our method has two main advantages: (1) availability for any library without customizing OPACs, and (2) ability to suggest su...

Methods. A test collection of 200 MEDLINE citations published in 1997, with abstracts in English, were selected at random. The following methods of finding and ranking suitable MeSH descriptors have been investigated using this test collection: The Inquery Algorithm. This algorithm depends on parsing text into noun phrases, then using the Inquery search engine to match to MeSH descriptors. Cooc...

s: The aim of this study is to investigate how Medical Subject Headings (MeSH) as background knowledge source can improve text classification results. The hypothesis is experimented with two different sets of medical documents using HMM-based TC classifier. Experimental results show the improvement of the performance with MeSH in accuracy. Résumé : Le but de cette étude est d’examiner comment l...

Purpose: The "transgender tipping point" has brought transgender social and health issues to the forefront of American culture. However, medical professionals have been lagging in academic research with a transgender-specific focus resulting in significant knowledge gaps in dealing with the care of our transgender patients. The aim of this article is to analyze all published Medline-available t...

We present a model for automatically generating training sets and estimating the probability that a pair of Medline records sharing a last and first name initial are authored by the same individual, based on shared title words, journal name, co-authors, medical subject headings, language, and affiliation, as well as distinctive features of the name itself (i.e., presence of middle initial, suff...

It is well-known that suggesting subject headings according to user queries is useful for subject searches (e.g., the MeSH database for MEDLINE (“MeSH databse,” n.d.), RedLightGreen (“RedLightGreen,” n.d.)). However, few systems suggest subject headings for OPACs in Japan. Some systems (e.g. “National Diet Library NDL-OPAC,” n.d.), which offer users a function that retrieves subject headings, a...

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