Identification of a support vector machine-based biomarker panel with high sensitivity and specificity for nonalcoholic steatohepatitis


YILMAZ Y. , EREN F.

CLINICA CHIMICA ACTA, cilt.414, ss.154-157, 2012 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 414
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.cca.2012.08.005
  • Dergi Adı: CLINICA CHIMICA ACTA
  • Sayfa Sayıları: ss.154-157

Özet

Background: Although liver biopsy remains the best diagnostic standard for nonalcoholic steatohepatitis (NASH), non-invasive tests are eagerly awaited. In this study, we sought to develop a support vector machine (SVM) algorithm to discriminate with high accuracy between subjects with NASH and controls using a blood-based biomarker panel.