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 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 414
  • Publication Date: 2012
  • Doi Number: 10.1016/j.cca.2012.08.005
  • Journal Name: CLINICA CHIMICA ACTA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.154-157
  • Keywords: Nonalcoholic steatohepatitis, Support vector machine, Biomarkers, Diagnostic panel, FATTY LIVER-DISEASE, SERUM FGF21 LEVELS, METABOLIC SYNDROME, SIMPLE STEATOSIS, GROWTH-FACTOR, DIAGNOSIS, FIBROSIS, NASH, CYTOKERATIN-18
  • Recep Tayyip Erdoğan University Affiliated: No

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.