ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers

A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing efficiency of text mining. In this paper, we address...

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Detalles Bibliográficos
Autores principales: Xing, Yuting, Wu, Chengkun, Yang, Xi, Wang, Wei, Zhu, En, Yin, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099625/
https://www.ncbi.nlm.nih.gov/pubmed/29702574
http://dx.doi.org/10.3390/molecules23051028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099625/
https://www.ncbi.nlm.nih.gov/pubmed/29702574
http://dx.doi.org/10.3390/molecules23051028

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