Support vector machine-based feature selection for classification of liver fibrosis grade in chronic hepatitis C.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 30; no. 5; pp. 389 - 395
Autores principales: Jiang Z, Yamauchi K, Yoshioka K, Aoki K, Kuroyanagi S, Iwata A, Yang J, Wang K
Formato: algorithm equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Oct2006
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2006
      vid: 30
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      pub: Springer Nature
      place: New York, New York
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        atl: Support vector machine-based feature selection for classification of liver fibrosis grade in chronic hepatitis C.
      aug:
        au:
          Jiang Z
          Yamauchi K
          Yoshioka K
          Aoki K
          Kuroyanagi S
          Iwata A
          Yang J
          Wang K
        affil: Department of Medical Information and Management Science, Graduate School of Medicine, Nagoya University, 65, Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan; jianzhen@med.nagoya-u.ac.jp
      sug:
        subj:
          Diagnosis
          Hepatitis C, Chronic
          Liver Cirrhosis Classification
          Adult
          Algorithms
          Biological Markers
          Female
          Funding Source
          Japan
          Liver Cirrhosis Blood
          Male
          Middle Age
          Models, Statistical
          Reliability
          Retrospective Design
          Human
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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