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A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network

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Abstract

Hepatitis is a major public health problem all around the world. Hepatitis disease diagnosis via proper interpretation of the hepatitis data is an important classification problem. In this study, a comparative hepatitis disease diagnosis study was realized. For this purpose, a probabilistic neural network structure was used. 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.

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Authors and Affiliations

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

    M. Serdar Bascil & Halit Oztekin

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  1. M. Serdar Bascil
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  2. Halit Oztekin
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Correspondence to Halit Oztekin.

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Bascil, M.S., Oztekin, H. A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network. J Med Syst 36, 1603–1606 (2012). https://doi.org/10.1007/s10916-010-9621-x

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  • DOI: https://doi.org/10.1007/s10916-010-9621-x

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