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Expression nuage Mining and Analysis of User-Defined Phrase-catégorie Association dans les Publications biomédicales
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Expression nuage Mining and Analysis of User-Defined Phrase-catégorie Association dans les Publications biomédicales

Article DOI: 10.3791/59108-v • 09:20 min • February 23rd, 2019
February 23rd, 2019 •
*1,2, *1,2, *1, 3, 1,2,4, 5, 5, 5, 1,6,7, 5, 1,2,4,6
1The NIH BD2K Center of Excellence in Biomedical Computing, University of California, Los Angeles, 2Department of Physiology, University of California, Los Angeles, 3Department of Pediatric and Adult Congenital Heart Surgery, Miller Children's and Women's Hospital and Long Beach Memorial Hospital, 4Department of Medicine/Cardiology, University of California, Los Angeles, 5NIH BD2K Program Centers of Excellence for Big Data Computing -- KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), 6Scalable Analytics Institute (ScAi), University of California, Los Angeles, 7Department of Computer Science, University of California, Los Angeles
* These authors contributed equally

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Nous présentons un protocole et code de programmation associé ainsi que des échantillons de métadonnées pour soutenir une identification automatisée basée sur un nuage des phrases-catégorie association représentant des concepts uniques dans le domaine de certaines connaissances de l’utilisateur dans la littérature biomédicale. L’association de catégorie expression quantifiée par le présent protocole peut faciliter une analyse approfondie dans le domaine de connaissances choisies.

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Numéro 144 fouille de textes sciences médecine informatique médicale exploitation minière de la phrase le cloud computing
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