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Title:
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A HYBRID INTELLIGENT DECISION SUPPORT SYSTEM FOR SWINE FLU |
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Author(s):
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Ashraf Mohammed Iqbal, Musfiq Rahman, Rezaul Karim, Mohammed Al-Khatari |
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ISBN:
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978-972-8939-16-8 |
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Editors:
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Mário Macedo |
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Year:
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2010 |
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Edition:
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Single |
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Keywords:
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Rule-Based Reasoning, Case-Based Reasoning, Hybrid Intelligent Systems. |
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Type:
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Short Paper |
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First Page:
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234 |
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Last Page:
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238 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In June 2009 the World Health Organization (WHO) declared an influenza pandemic when a new strain of the Swine flu virus H1N1 spread quickly around the world. To prevent, control and treat the swine flu is now a major concern among researchers. Among others, one of the major challenges is identifying cases of the flu. In this paper, we propose a hybrid intelligent system that combines rule-based reasoning (RBR) and case-based reasoning (CBR) techniques to help general medical practitioners identify swine flu more effectively. We simulated our proposed system using a growing case base and 20 fixed cases. |
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