title: An MLP classifier for prediction of HBV-induced liver cirrhosis using routinely available clinical parameters.
abstract: BACKGROUND
  Liver cirrhosis (LC) is the final stage of most of chronic liver diseases and is almost caused by chronic hepatitis B (CHB) in China. Liver biopsy is the reference method for the evaluation of liver cirrhosis. However, it is an invasive procedure with inherent risk. The aim of this study was to construct a new classifier based on the routine clinical markers for the prediction of HBV-induced LC.
  
  
  METHODS
  We collected routine clinical parameters from 124 LC patients with CHB and 115 with CHB. Training set (n = 120) and test set (n = 119) were built for model construction and evaluation, respectively.
  
  
  RESULTS
  We describe a new classifier, MLP, for prediction of LC with CHB. MLP was built with seven routinely available clinical parameters, including age, ALT, AST, PT, PLT, HGB, and RDW. With optimal cutoff, we obtained a sensitivity of 95.2%, a specificity of 84.2%, and an overall accuracy of 89.9% on an independent test set, which were superior to those of FIB-4 and APRI.
  
  
  CONCLUSIONS
  Our study suggests that the MLP classifier can be implemented for discriminating LC and non-LC cohorts by using machine learning method based on the routine available clinical parameters. It could be used for clinical practice in HBV-induced LC assessment.
authors.affiliation: Department of Laboratory Medicine, Jinan Military General Hospital, Jinan, Shandong 250031, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Cao
authors.forename: Zhi-De
authors.initials: ZD
authors.lastname: Hu
authors.forename: Xiao-Fei
authors.initials: XF
authors.lastname: Liu
authors.forename: An-Mei
authors.initials: AM
authors.lastname: Deng
authors.forename: Cheng-Jin
authors.initials: CJ
authors.lastname: Hu
mesh_terms: D000328:Adult; D000410:Alanine Transaminase / Q000097:blood; D000465:Algorithms; D000469:Alkaline Phosphatase / Q000097:blood; D019540:Area Under Curve; D001219:Aspartate Aminotransferases / Q000097:blood; D001499:Bayes Theorem; D015415:Biomarkers / Q000097:blood; D004909:Erythrocyte Indices; D005260:Female; D019694:Hepatitis B, Chronic / Q000097:blood* / Q000150:complications; D006801:Humans; D008103:Liver Cirrhosis / Q000097:blood* / Q000175:diagnosis* / Q000821:virology; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D010976:Platelet Count; D011517:Prothrombin Time; D012372:ROC Curve; D012984:Software
chemical_list: D015415:Biomarkers; D001219:Aspartate Aminotransferases; D000410:Alanine Transaminase; D000469:Alkaline Phosphatase