Generation of Standardized E-Learning Content from Digital Medical Collections.
In this paper, we describe a new approach to generating standardized e-Learning content from existing medical collections. The core of this approach is a tool called Clavy, which makes it possible to retrieve information items from medical collections, to transform these items into meaningful learni...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 7 |
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| Autores principales: | , , |
| Formato: | diagnostic images pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2019
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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=137182937&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137182937 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Jul2019 vid: 43 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137182937 137182937 137182937 10.1007/s10916-019-1330-5 137182937 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Generation of Standardized E-Learning Content from Digital Medical Collections. aug: au: Buendía, Félix Gayoso-Cabada, Joaquín Sierra, José-Luis affil: Escuela Técnica Superior de Ingeniería Informática, Universitat Politècnica de València, Valencia, Spain sug: subj: Learning Methods Computer-Assisted Instruction Internet Education, Medical Electronic Books Information Management Information Retrieval Online Systems ab: In this paper, we describe a new approach to generating standardized e-Learning content from existing medical collections. The core of this approach is a tool called Clavy, which makes it possible to retrieve information items from medical collections, to transform these items into meaningful learning units, and to export them in the form of standardized e-Learning packages. In addition to describing the approach, we assess its feasibility by applying it to the generation of IMS Content Packages from MedPix, an online database of medical cases in the domain of radiology. pubtype: Academic Journal doctype: diagnostic images pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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