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