Journal of Medical Systems

, Volume 35, Issue 3, pp 433–436

A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm

Original Paper

DOI: 10.1007/s10916-009-9378-2

Cite this article as:
Bascil, M.S. & Temurtas, F. J Med Syst (2011) 35: 433. doi:10.1007/s10916-009-9378-2

Abstract

In this study, a hepatitis disease diagnosis study was realized using neural network structure. For this purpose, a multilayer neural network structure was used. Levenberg–Marquardt algorithm was used as training algorithm for the weights update of the neural network. The results of the study were compared with the results of the previous studies reported focusing on hepatitis disease diagnosis and using same UCI machine learning database. We obtained a classification accuracy of 91.87% via tenfold cross validation.

Keywords

Hepatitis disease diagnosis Multilayer neural network Levenberg–Marquardt training algorithm 

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringBozok UniversityYozgatTurkey