Andino Maseleno; Md. Mahmud Hasan

Skin Diseases Expert System using DempsterShafer Theory

Full Text (PDF, 671KB), PP.38-44

Views: 0 Downloads: 0

Author(s)

1. Computer Science Program, Faculty of Science, Universiti Brunei Darussalam Jalan Tungku Link, Gadong BE 1410, Negara Brunei Darussalam

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.05.06

Received: 7 Jul. 2011 / Revised: 23 Oct. 2011 / Accepted: 11 Jan. 2012 / Published: 8 May 2012

Index Terms

Skin diseases, expert system, Dempster-Shafer theory

Abstract

Based on World Health Organization (WHO) report in the 2011 Skin diseases still remain common in many rural communities in developing countries, with serious economic and social consequences as well as health implications. Directly or indirectly, skin diseases are responsible for much disability (and loss of economic potential), disfigurement, and distress due to symptoms such as itching or pain. In this research, we are using Dempster-Shafer Theory for detecting skin diseases and displaying the result of detection process. We describe five symptoms as major symptoms which include blister, itch, scaly skin, fever, and pain in the rash. Dempster-Shafer theory to quantify the degree of belief, our approach uses Dempster-Shafer theory to combine beliefs under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result. The result reveal that Skin Diseases Expert System has been successfully detecting skin diseases and displaying the result of identification process.

Cite This Paper

Andino Maseleno, Md. Mahmud Hasan, "Skin Diseases Expert System using Dempster-Shafer Theory", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.5, pp.38-44, 2012. DOI:10.5815/ijisa.2012.05.06

Reference

[1]R. Marks, A. Plunkett, K. Merlin, N. Jenner. Atlas of Common Skin Diseases in Australia. Department of Dermatology, St Vincent’s Hospital, Melbourne, Australia, 1999

[2]T. A. Grossbart, C. Sherman. Skin Deep. Health Press NA Inc., Albuquerque, New Mexico, 2009.

[3]H.A. Guvenir, N. Emeksiz. An expert system for the differential diagnosis of erythemato-squamous diseases. Expert Systems with Applications, v18, 2000, pp. 43–49.

[4]S. Karagiannis, A. I. Dounis, T. Chalastras, P. Tiropanis, and D. Papachristos. Design of Expert System for Search Allergy and Selection of the Skin Tests using CLIPS. World Academy of Science, Engineering and Technology v31, 2007, pp. 487-490.

[5]S.S.A. Naser, A.N. Akkila. A Proposed Expert System for Skin Infections Diagnosis. Journal of Applied Sciences Research, v 4, n12, 2008, pp. 1682-1693.

[6]A. P. Dempster. A Generalization of Bayesian inference. Journal of the Royal Statistical Society, 1968, pp. 205 – 247.

[7]G. Shafer. A Mathematical Theory of Evidence, Princeton University Press, New Jersey, 1976.

[8]J.A., Barnett. Computational methods for a mathematical theory of evidence. Proceedings of The 7th International Joint Conference on Artificial Intelligence, Vancouver, (1981), pp. 868-875.

International Journal of Intelligent Systems and Applications (IJISA)