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Cloud-baseret sætning minedrift og analyse af brugerdefinerede sætning-kategori Association i biomedicinsk publikationer

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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Vi præsenterer en protokol og tilknyttede programmeringskode samt metadata prøver at støtte en cloud-baseret automatiseret identifikation af sætninger-kategori sammenslutning, der repræsenterer unikke koncepter i brugeren valgte viden domænet i biomedicinske litteratur. Sætning-kategori foreningen kvantificeres ved denne protokol kan lette dybtgående analyse i domænet valgte viden.

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Medicin spørgsmål 144 tekst mining data videnskab medicinsk informatik sætning minedrift cloud computing
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