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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...
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| Veröffentlicht in: | Healthc Inform Res |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Korean Society of Medical Informatics
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5572517/ https://ncbi.nlm.nih.gov/pubmed/28875048 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2017.23.3.141 |
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