ONLINE FUZZY-LOGIC KNOWLEDGE WAREHOUSING AND MINING MODEL FOR THE DIAGNOSIS AND THERAPY OF HIV/AIDS

ABSTRACT The need for a reliable and efficient way of storing and mining data about people living with HIV/AIDs with the intent to monitor the health status for effective therapy is on the increase. This paper presents a model of a web-based system for knowledge warehousing and mining of diagnosis and therapy of HIV/AIDs using Fuzzy Logic and data mining approach. A model was developed, using the predictive modeling technique, for predicting HIV/AIDs and monitoring of patient health status. The fuzzy inference rule and a decision support system based on cognitive filtering was employed to determine th