Work place: Computer Science Program, Faculty of Science, Universiti Brunei Darussalam Jalan Tungku Link, Gadong BE 1410, Negara Brunei Darussalam
E-mail: andinomaseleno@yahoo.com
Website:
Research Interests: Artificial Intelligence
Biography
Andino Maseleno is a Ph.D. student in the Department of Computer Science, Universiti Brunei Darussalam. His research interest is in the area of artificial intelligence. He receives Graduate Research Scholarship (GRS) from Duli Yang Maha Mulia Sultan Haji Hassanal Bolkiah.
By Andino Maseleno Md. Mahmud Hasan
DOI: https://doi.org/10.5815/ijisa.2012.05.06, Pub. Date: 8 May 2012
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.
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