Fuzzy Model For Management Of Hiv/Aids Patients
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-5 |
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| Year of Publication : 2019 | ||
| Authors : Dr. Oye, N. D , Isah. N | ||
| DOI : 10.14445/22312803/IJCTT-V67I5P129 |
MLA Style:Dr. Oye, N. D , Isah. N"Fuzzy Model For Management Of Hiv/Aids Patients" International Journal of Computer Trends and Technology 67.5 (2019):164-178.
APA Style: Dr. Oye, N. D , Isah. N (2019) Fuzzy Model For Management Of Hiv/Aids Patients International Journal of Computer Trends and Technology, 67(5), 164-178.
Abstract
HIV/AIDS represents major public health problems in Nigeria. The harmful effects of HIV virus to the human body cannot be underestimated. In this research, a fuzzy model for the management of HIV/AIDS (FMMHIV) was presented for providing decision support platform to HIV/AIDS researchers, physicians and other healthcare practitioners in HIV endemic regions. The developed FMMHIV composed of four components which include the Knowledge base, the Fuzzification, the Inference engine and Defuzzification components. Triangular membership function was used to show the degree of participation of each input parameter (CD4+ and Viral Load) and the defuzzification technique employed in this research is the Centre of Gravity (CoG). The fuzzy expert system was designed based on clinical observations, medical diagnosis and the expert’s knowledge. We selected 30 patients with HIV positive from HIV clinic Federal Teaching Hospital Gombe and computed the results that were in the range of predefined limit by the domain experts. The result of the model was tested using confusion matrix and found 87.1% accurate with 12.9 percentage error. HIV careers with tuberculosis (TB) and pregnant women are not considered in this work.
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Keywords
Fuzzification; Fuzzy Logic; Fuzzy Model; Fuzzy System; HIV/AIDS Patients