Diagnosis of Renal Failure Disease Using Adaptive Neuro-Fuzzy Inference System.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 34; no. 6; pp. 1003 - 1010
Autores principales: Akgundogdu, Abdurrahim, Kurt, Serkan, Kilic, Niyazi, Ucan, Osman, Akalin, Nilgun
Formato: research tables/charts Journal Article
Publicado: Springer Nature Dec2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2010
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        atl: Diagnosis of Renal Failure Disease Using Adaptive Neuro-Fuzzy Inference System.
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          Akgundogdu, Abdurrahim
          Kurt, Serkan
          Kilic, Niyazi
          Ucan, Osman
          Akalin, Nilgun
        affil: Electrical-Electronics Department, Engineering Faculty, Istanbul University, Avcilar Istanbul Turkey
      sug:
        subj:
          Diagnosis, Computer Assisted
          Renal Insufficiency Diagnosis
          Human
          Male
          Female
          Age Factors
          Adolescence
          Young Adult
          Adult
          Middle Age
          Aged
          Blood Urea Nitrogen
          Creatinine Cerebrospinal Fluid
          Uric Acid
          Calcium Blood
          Decision Support Systems, Clinical
          Sensitivity and Specificity
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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