Early Warning System for Financially Distressed Hospitals Via Data Mining Application.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 36; no. 4; pp. 2271 - 2288
Autores principales: Koyuncugil, Ali, Ozgulbas, Nermin
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Aug2012
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=117144027&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 117144027
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Aug2012
      vid: 36
      iid: 4
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        117144027
        117144027
        117144027
        10.1007/s10916-011-9694-1
        117144027
      ppf: 2271
      ppct: 17
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Early Warning System for Financially Distressed Hospitals Via Data Mining Application.
      aug:
        au:
          Koyuncugil, Ali
          Ozgulbas, Nermin
        affil: Department of Research, Capital Markets Board of Turkey, Eskisehir Yolu 8. km., No: 156, Balgat 06530 Ankara Turkey
      sug:
        subj:
          Hospitals Economics
          Financial Management
          Financial Losses
          Data Mining
          Chi Square Test
          Turkiye
          Decision Trees
          Risk Management
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N