Online Fuzzy-Logic Knowledgewarehousing and Mining Model for the Diagnosis and Therapy of HIV/AIDS
C.E. Igodan, Akinyokun O.C, Olabode Olatubosun · International Journal of Computational Science and Information Technology · 2013
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 the possible course of action to be taken.A case study of some data of PLWH was used and the result obtained shows that the developed system is efficient.The system uses XAMP on Windows OS platform.The system was tested and evaluated with satisfactory results.