Remembrance: Igaku Toshokan, Union list of medical periodicals, Medical Subject Headings; English-Japanese ed
نویسندگان
چکیده
منابع مشابه
Automated 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 کاملMetab2MeSH: 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 کاملTemporal Classifiers for Predicting the Expansion of Medical Subject Headings
Ontologies such as the Medical Subject Headings (MeSH) and the Gene Ontology (GO) play a major role in biology and medicine since they facilitate data integration and the consistent exchange of information between different entities. They can also be used to index and annotate data and literature, thus enabling efficient search and analysis. Unfortunately, maintaining the ontologies manually is...
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...
متن کاملRanking Medical Subject Headings using a factor graph model
Automatically assigning MeSH (Medical Subject Headings) to articles is an active research topic. Recent work demonstrated the feasibility of improving the existing automated Medical Text Indexer (MTI) system, developed at the National Library of Medicine (NLM). Encouraged by this work, we propose a novel data-driven approach that uses semantic distances in the MeSH ontology for automated MeSH a...
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ژورنال
عنوان ژورنال: Igaku Toshokan
سال: 2004
ISSN: 0445-2429,1884-5622
DOI: 10.7142/igakutoshokan.51.20