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 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 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 کاملTopic Models to Interpret MeSH – MEDLINE’s Medical Subject Headings
We show how topic models are useful for interpreting and understanding MeSH, the Medical Subject Headings applied to articles in MEDLINE. We show how our resampled author model captures some of the advantages of both the topic model and the author-topic model. We demonstrate how the topic modeling approach can provide an alternative and complementary view of the relationship between MeSH headin...
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: British Journal of Psychiatry
سال: 1984
ISSN: 0007-1250,1472-1465
DOI: 10.1192/s0007125000204534