AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM

Authors

  • Imianvan A.A.

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

How to Cite

Imianvan A.A. (2011). AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM. Global Journal of Computer Science and Technology, 11(12), 69–75. Retrieved from https://computerresearch.org/index.php/computer/article/view/805

AN EXPERT SYSTEM FOR THE INTELLIGENT DIAGNOSIS OF HIV/AIDs USING FUZZY CLUSTER MEANS ALGORITHM

Published

2011-05-15