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

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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.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Bozok University, 66200, Yozgat, Turkey

    M. Serdar Bascil & Feyzullah Temurtas

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  1. M. Serdar Bascil
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  2. Feyzullah Temurtas
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Correspondence to M. Serdar Bascil.

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Bascil, M.S., Temurtas, F. A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm. J Med Syst 35, 433–436 (2011). https://doi.org/10.1007/s10916-009-9378-2

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  • DOI: https://doi.org/10.1007/s10916-009-9378-2

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