Diagnosis of liver disease induced by hepatitis virus using Artificial Neural Networks

This paper presents an artificial neural network based approach for the diagnosis of hepatitis virus. The dataset used for this purpose is taken from the UCI machine learning database. Both supervised and unsupervised neural network models have been analyzed with different architectures, learning and activation functions. It is concluded that the supervised model performed better than the unsupervised one. The paper also compares the results of the previous studies on the diagnosis of hepatitis which use the same dataset.

[1]  A.A. Ghatol,et al.  Hepatitis B Diagnosis Using Logical Inference And Generalized Regression Neural Networks , 2009, 2009 IEEE International Advance Computing Conference.

[2]  H. Nazeran,et al.  Classification of Impulse Oscillometric Patterns of Lung Function in Asthmatic Children using Artificial Neural Networks , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[3]  Ghumbre Shashikant Uttreshwar,et al.  Hepatitis B Diagnosis Using Logical Inference and Self-Organizing Map , 2008 .

[4]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[5]  Shahriar Gharibzadeh,et al.  A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach , 2011, Journal of Medical Systems.

[6]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[7]  Wang Yong,et al.  A Better Classifier Based on Rough Set and Neural Network for Medical Images , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

[8]  Sara Moein,et al.  Hepatitis Diagnosis by Training of an MLP Artificial Neural Network , 2008, IC-AI.

[9]  M. Serdar Bascil,et al.  A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network , 2012, Journal of Medical Systems.

[10]  M. Serdar Bascil,et al.  A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm , 2011, Journal of Medical Systems.

[11]  Tan Kok Liang,et al.  An automated three-dimensional visualization and classification of emphysema using neural network , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[12]  Jamil Ahmad,et al.  Determination of hepatotropic virus in human metabolism using artificial neural networks , 2010, 2010 6th International Conference on Emerging Technologies (ICET).

[13]  A. Jilani Tahseen,et al.  PCA-ANN for Classification of Hepatitis-C Patients , 2011 .

[14]  P. Snow,et al.  Artificial neural networks: current status in cardiovascular medicine. , 1996, Journal of the American College of Cardiology.

[15]  Y. Hiltunen,et al.  Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors , 1998, Journal of viral hepatitis.

[16]  Tai-Lang Jong,et al.  Self organizing map neural network with fuzzy screening for micro-calcifications detection on mammograms , 2008, 2008 IEEE Conference on Soft Computing in Industrial Applications.

[17]  S. Goldring,et al.  Principles and Practice of Medicine , 1871, Chicago Medical Examiner.