Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search

BACKGROUND: Finding highly relevant articles from biomedical databases is challenging not only because it is often difficult to accurately express a user’s underlying intention through keywords but also because a keyword-based query normally returns a long list of hits with many citations being unwa...

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Detalles Bibliográficos
Autores principales: Ji, Yanqing, Ying, Hao, Tran, John, Dews, Peter, Massanari, R. Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959361/
https://www.ncbi.nlm.nih.gov/pubmed/27453982
http://dx.doi.org/10.1186/s12859-016-1129-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959361/
https://www.ncbi.nlm.nih.gov/pubmed/27453982
http://dx.doi.org/10.1186/s12859-016-1129-z

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