V-Diagnostic: A Data Mining System For Human Immuno- Deficiency Virus Diagnosis

A very serious health problem and life threatening diseases that has taken over the world medical scene from early 80s up to the present is Acquired Immune Deficiency Syndrome(AIDS), which is a result of Human Immuno-Deficiency Virus (HIV) in the body system. The World Health Organization through the support of United Nations advocates avoidance of unsafe sex, use of unsterilized sharp object and regular tests to ascertain ones HIV status. The campaign on HIV/AIDS is not effective especially on issues that relate to diagnosing of HIV at the early stage, it is most threatened because of discrimination against people living with the virus and lack of testing and counselling centre, most especially in rural areas of developing countries like Nigeria. Therefore, this paper focuses on the development of a Neural Network Based Data Mining System that could learn from historical data containing symptoms, mode of transmissions, region and status of patient which is used to predict or diagnose a patient HIV status. The system offers a very simple interactive platform for all any type of users providing self-diagnosis against this life threatening and deadly virus.