A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 38; no. 5; pp. 1 - 13
Autores principales: Yilmaz, Nihat, Inan, Onur, Uzer, Mustafa
Formato: algorithm equations & formulas pictorial tables/charts Journal Article
Publicado: Springer Nature May2014
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=117144491&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 117144491
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: May2014
      vid: 38
      iid: 5
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        117144491
        117144491
        117144491
        10.1007/s10916-014-0048-7
        117144491
      ppf: 1
      ppct: 12
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases.
      aug:
        au:
          Yilmaz, Nihat
          Inan, Onur
          Uzer, Mustafa
        affil: Electrical-Electronics Engineering Department, Engineering Faculty, Selcuk University, Konya Turkey
      sug:
        subj:
          Clustering Algorithms
          Heart Diseases Diagnosis
          Diabetes Mellitus Diagnosis
          Diagnosis, Computer Assisted
          Human
          Artificial Intelligence
          Tomography, Emission-Computed, Single-Photon
          Resource Databases, Health
          Information Systems
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N