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Adaptive Semantic Tag Mining from Heterogeneous Clinical Research Texts
OBJECTIVES: To develop an adaptive approach to mine frequent semantic tags (FSTs) from heterogeneous clinical research texts. METHODS: We develop a “plug-n-play” framework that integrates replaceable unsupervised kernel algorithms with formatting, functional, and utility wrappers for FST mining. Tem...
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| Pubblicato in: | Methods Inf Med |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4441820/ https://ncbi.nlm.nih.gov/pubmed/25327613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3414/ME13-01-0130 |
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