A weakly supervised method for named entity recognition of Chinese electronic medical records.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 10; pp. 2733 - 2744 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2023
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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=172361463&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 172361463 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2023 vid: 61 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 172361463 164898831 10.1007/s11517-023-02871-6 172361463 ppf: 2733 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A weakly supervised method for named entity recognition of Chinese electronic medical records. aug: au: Li, Meng Gao, Chunrong Zhang, Kuang Zhou, Huajian Ying, Jing affil: https://ror.org/00a2xv884 College of Computer Science and Technology, Zhejiang University, Zhejiang Province, 310027, Hangzhou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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