A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 35; no. 1; pp. 121 - 127
Autores principales: Raoufy, Mohammad, Vahdani, Parviz, Alavian, Seyed, Fekri, Sahba, Eftekhari, Parivash, Gharibzadeh, Shahriar
Formato: research tables/charts Journal Article
Publicado: Springer Nature Feb2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2011
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      pub: Springer Nature
      place: New York, New York
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        atl: A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach.
      aug:
        au:
          Raoufy, Mohammad
          Vahdani, Parviz
          Alavian, Seyed
          Fekri, Sahba
          Eftekhari, Parivash
          Gharibzadeh, Shahriar
        affil: Department of Physiology, School of Medical Sciences, Tarbiat Modares University, Tehran Iran
      sug:
        subj:
          Hepatitis B, Chronic Complications
          Liver Cirrhosis Diagnosis
          Human
          Neural Networks (Computer)
          Liver Function Tests
          Blood Coagulation Tests
          Biopsy
          ROC Curve
          Logistic Regression
          Noninvasive Procedures
          Cross Sectional Studies
          T-Tests
          Iran
          Data Analysis Software
          Adult
          Middle Age
          Sensitivity and Specificity
          Adult: 19-44 years
          Middle Aged: 45-64 years
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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