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


YILMAZ Y. , EREN F.

CLINICA CHIMICA ACTA, vol.414, pp.154-157, 2012 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 414
  • Publication Date: 2012
  • Doi Number: 10.1016/j.cca.2012.08.005
  • Title of Journal : CLINICA CHIMICA ACTA
  • Page Numbers: pp.154-157

Abstract

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.