CFP last date
22 April 2024
Reseach Article

An Expert System For Hepatitis B Diagnosis Using Artificial Neural Networks

Published on March 2012 by Dakshata Panchal, Seema Shah
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 11
March 2012
Authors: Dakshata Panchal, Seema Shah
bbe106ff-a355-4229-8c05-05f5bb001c4d

Dakshata Panchal, Seema Shah . An Expert System For Hepatitis B Diagnosis Using Artificial Neural Networks. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 11 (March 2012), 34-38.

@article{
author = { Dakshata Panchal, Seema Shah },
title = { An Expert System For Hepatitis B Diagnosis Using Artificial Neural Networks },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 11 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 34-38 },
numpages = 5,
url = { /proceedings/icwet2012/number11/5396-1087/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Dakshata Panchal
%A Seema Shah
%T An Expert System For Hepatitis B Diagnosis Using Artificial Neural Networks
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 11
%P 34-38
%D 2012
%I International Journal of Computer Applications
Abstract

Hepatitis B including chronic liver disease is quite common in the world, which may cause damage to hepatocytes. The severity may range from healthy carrier to decompensated cirrhosis. In medicine, diagnosis is "the recognition of a disease or stipulation by its apparent signs and symptoms" or "the analysis of the underlying physiological! Biochemical cause(s) of a disease or condition". An important issue in medical diagnosis is the risk stratification, which refers to the sorting of patients based on the severity of disease. In case the clinical problem lies beyond the physician's competence, the solution is to consult a specialist, however in common, expert opinion is either unavailable or not available in a timely fashion. The physician is left without adequate time to devote to each case and struggling to keep up with the newest developments in his field owing to our increasing expectations of the highest quality health care and the rapid_growth_of_ever_more_detailed_medical_knowledge. In this paper we have described an expert system for the diagnosis of the Hepatitis B virus disease, which consists of the generalized regression neural network. The main aim of the system is to classify the patient in two categories : Infected or Immune mentioning the causes and severity

References
  1. Ghumbre S. U.; Ghalot A.A.,” Hepatitis B Diagnosis using Logical Inference And Generalized Regression Neural Networks”, 2009 IEEE International Advance Computing Conference(IACC 2009),ISBN 978-1-4244-2928-8/09/
  2. Ghumbre S. U.; Ghalot A.A.,” Hepatitis B Diagnosis using Logical Inference And Self Organizing Map”, 2008 ;Journal of Computer Science; ISSN 1549-3636
  3. _Hepatitis_B from,“http://www.medicinenet.com/hepatitis_b/page9.htm”.
  4. Dhruba J Sarma, "Neural Networks and their Applications in Industry" DESlDOC Bulletin of Information Technology, Vol. 20, Nos. 1 &2' January & March 2000, pp. 29-36
  5. Riudiger W. Brause, "Medical Analysis and Diagnosis by Neural Networks", Proceedings of Medical Data Analysis, Springer-Verlag, vol. 20,pp. 1-13, 2001. Victor Alves, Paulo Novais, Luis Nelas, Moreira Maia and Victor Ribeiro,
  6. Ozyilmaz, L.; Yildirim, T., "Artificial neural networks for diagnosis of hepatitis disease", Proceedings of the International Joint Conference on Neural Networks, Volume 1, pp. 586 - 589, 20-24 July 2003.
  7. Specht DF., "A general regression neural network", IEEE Transactions o erlNtok,vl ,n.6 p5856 91 on Neural Networks, vol.2, no. 6, pp.568-576, 1991.
  8. Timothy Masters and Walker Land, “A New Training Algorithm for the General Regression Neural Network”, IEEE, ISBN 0-7803-4053-1/97
Index Terms

Computer Science
Information Sciences

Keywords

Medical Diagnosis Artificial Intelligence Neural Networks Hepatitis B Generalized Regression Neural Networks Hepatitis B virus(HBV) Hepatitis B DNA