From data to insights: how natural language processing and structured reporting advance data-driven radiology.
| Publicado en: | European Radiology Vol. 33; no. 11; pp. 7494 - 7496 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2023
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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=173151695&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173151695 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2023 vid: 33 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 173151695 172435393 10.1007/s00330-023-10242-w 173151695 ppf: 7494 ppct: 2 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: From data to insights: how natural language processing and structured reporting advance data-driven radiology. aug: au: Fink, Matthias A. affil: https://ror.org/013czdx64 Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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