Cargando…
Text Mining in Biomedical Domain with Emphasis on Document Clustering
OBJECTIVES: With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructure...
Autor principal: | Renganathan, Vinaitheerthan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572517/ https://www.ncbi.nlm.nih.gov/pubmed/28875048 http://dx.doi.org/10.4258/hir.2017.23.3.141 |
Ejemplares similares
-
Biomedical Text Mining and Its Applications
por: Rodriguez-Esteban, Raul
Publicado: (2009) -
A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
por: Ahmad, Pir Noman, et al.
Publicado: (2023) -
SparkText: Biomedical Text Mining on Big Data Framework
por: Ye, Zhan, et al.
Publicado: (2016) -
Measuring the drafting alignment of patent documents using text mining
por: Khachatryan, Davit, et al.
Publicado: (2020) -
OntoGene web services for biomedical text mining
por: Rinaldi, Fabio, et al.
Publicado: (2014)