Imagen de Portada
Código QR

Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher's Z-transformation.

Publicado en:Medical & Biological Engineering & Computing Vol. 60; no. 5; pp. 1391 - 1416
Autor principal: Abdullah, A. Sheik
Formato: Journal Article
Publicado: Springer Nature May2022
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=156318887&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 156318887
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: May2022
      vid: 60
      iid: 5
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        156318887
        156000477
        10.1007/s11517-022-02530-2
        156318887
      ppf: 1391
      ppct: 25
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher's Z-transformation.
      aug:
        au: Abdullah, A. Sheik
        affil: School of Computer Science Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N