Your browser doesn't support javascript.

Repositório BVS

Documentos sobre a Biblioteca Virtual em Saúde

> Pesquisa > ()
XML
Imprimir Exportar

Formato de exportação:

Exportar

Email
Adicionar mais destinatários
| |

Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms.

Kim, Sun; Yeganova, Lana; Wilbur, W John.
Bioinformatics; 32(19): 3044-6, 2016 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-27288493
UNLABELLED: Medical Subject Headings (MeSH(®)) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed(®) for searching PubMed abstracts. However, these are rarely used, and there is no convenient way to link standardized MeSH terms to user queries. Here, we introduce a web interface which allows users to enter queries to find MeSH terms closely related to the queries. Our method relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeSH term. A query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the query. The experimental results show that our method achieves the best performance among several term extraction approaches in terms of topic coherence. Moreover, the interface can be effectively used to find full names of abbreviations and to disambiguate user queries. AVAILABILITY AND IMPLEMENTATION: https://www.ncbi.nlm.nih.gov/IRET/MESHABLE/ CONTACT: sun.kim@nih.gov SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.