Named Entity Recognition in Chinese Electronic Medical Records Based on the Model of Bidirectional Long Short-Term Memory with a Conditional Random Field Layer.
| Publicado en: | Medinfo pp. 1524 - 1526 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139874364&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139874364 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15696332 5EG5 jtl: Medinfo issn: 15696332 maglogo: N pubinfo: dt: 2019 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 139874364 10.3233/SHTI190516 139874364 ppf: 1524 ppct: 2 formats: tig: atl: Named Entity Recognition in Chinese Electronic Medical Records Based on the Model of Bidirectional Long Short-Term Memory with a Conditional Random Field Layer. aug: au: Luqi Li Li Hou affil: Institute of Medical Information and Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. sug: pubtype: Conference Proceeding doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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