AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM
Keywords:
Fuzzylogic, Clustering, FuzzyC-Means, HIV
Abstract
Human Immunodeficiency Virus HIV is a retrovirus that causes Acquired Immune Deficiency syndrome AIDS by infecting helper T cells or Lymphocyte of the immune system HIV is transmitted primarily by exposure to contaminated body fluids especially blood and semen Other means of transmission of HIV include sharing contaminated sharp objects and blood transfusion HIV symptoms can include headache chronic cough diarrhea swollen glands lack of energy loss of appetite weight loss frequent fevers frequent yeast infections skin rashes pelvic abdominal cramps sores on certain parts of your body and short-term memory loss The focal point of this paper is to describe and illustrate the application of fuzzy cluster means system to the diagnosis of HIV It involves a sequence of methodological and analytical decision steps that enhances the quality and meaning of the clusters produced The proposed system eliminates theuncertainties often associated with analysis of HIV test data
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Published
2011-05-15
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Copyright (c) 2011 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.