منابع مشابه
Metab2MeSH: annotating compounds with medical subject headings
SUMMARY Progress in high-throughput genomic technologies has led to the development of a variety of resources that link genes to functional information contained in the biomedical literature. However, tools attempting to link small molecules to normal and diseased physiology and published data relevant to biologists and clinical investigators, are still lacking. With metabolomics rapidly emergi...
متن کاملSuggesting Subject Headings Using Web Information Sources
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...
متن کاملAutomated Assignment of Medical Subject Headings
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...
متن کاملBoosting for Text Classification with Subject Headings
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...
متن کاملTwo Similarity Metrics for Medical Subject Headings (MeSH):
In the present paper, we have created and characterized several similarity metrics for relating any two Medical Subject Headings (MeSH terms) to each other. The article-based metric measures the tendency of two MeSH terms to appear in the MEDLINE record of the same article. The author-based metric measures the tendency of two MeSH terms to appear in the body of articles written by the same indi...
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ژورنال
عنوان ژورنال: Library Resources & Technical Services
سال: 2005
ISSN: 0024-2527,2159-9610
DOI: 10.5860/lrts.49n4.266