Mapping biological entities using the longest approximately common prefix method

BACKGROUND: The significant growth in the volume of electronic biomedical data in recent decades has pointed to the need for approximate string matching algorithms that can expedite tasks such as named entity recognition, duplicate detection, terminology integration, and spelling correction. The tas...

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Detalles Bibliográficos
Autores principales: Rudniy, Alex, Song, Min, Geller, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086698/
https://www.ncbi.nlm.nih.gov/pubmed/24928653
http://dx.doi.org/10.1186/1471-2105-15-187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086698/
https://www.ncbi.nlm.nih.gov/pubmed/24928653
http://dx.doi.org/10.1186/1471-2105-15-187

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