Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

Bibliographic Details
Published in:Journal of Medical Systems Vol. 40; no. 9; pp. 1 - 8
Main Authors: Diz, Joana, Marreiros, Goreti, Freitas, Alberto
Format: Journal Article
Published: Springer Nature Sep2016
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=140504172&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 140504172
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Sep2016
      vid: 40
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        140504172
        10.1007/s10916-016-0561-y
        140504172
      ppf: 1
      ppct: 7
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.
      aug:
        au:
          Diz, Joana
          Marreiros, Goreti
          Freitas, Alberto
        affil: CINTESIS - Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N