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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. Thispaper presents a model of a web-based system for knowledge warehousing and mining ofdiagnosis and therapy of HIV/AIDs using Fuzzy Logicand 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 the possible course of action to be taken. A case study of some data of PLWH was usedand the result obtained shows that the developed system is efficient. The system uses XAMPon Windows OS platform. The system was tested and evaluated with satisfactory results.

Online Fuzzy-Logic Knowledgewarehousing and Mining Model for the Diagnosis and Therapy of HIV/AIDS