Fuzzy Model For Management Of Hiv/Aids Patients

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-5
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.

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.

[1] Ahmed, E.B., A.E.S., Sherif, and A A.B.A., Ahmed, (2011). ?A Fuzzy Decision Support System for Management of Breast Cancer, (IJACSA)?.International Journal of Advanced Computer Science and Applications, Vol. 2, No.3, March 2011.
[2] Ahmad EsmailiTorshabi, Marco Riboldi, Andera Pella, Ali Negarestani, MohamadRahnemaand Guido Baroni (2012).? A clinical Application of fuzzy Logic?. Department of Electrical & Computer, Kerman Graduate University of Technology, Kerman, Iran. Pp. 1-15.
[3] Awotunde1 J. B., O.E. Matiluko, O.W Fatai, (2014). ?Medical System Diagnosis Using Fuzzy Logic?.Computer Science Department, Faculty of CIS, University of Ilorin, Ilorin, Nigeria, Center for Systems and Information Services, Landmark University, Omu-Aran, Nigeria. pp. 1-8.
[4] DanijelaTadi?, PredragPopovi?, Aleksandar?uki?, (2010). ?A Fuzzy Approach to Evaluation AndManagement Of Therapeutic Procedure In Diabetes Mellitus Treatment?. Yugoslav Journal of Operations Research Volume 20 (2010), Number 1, 99-116 10.2298/YJOR1001099T.
[5] Elaine R. (2011). Introduction to Artificial Intelligence, Updated 2013.
[6] Gupta, S., Kumar, D. and Sharma, A. (2011). Data Mining classification Techniques AppliedforBreast Cancer Diagnosis and Prognosis. Indian Journal of Computer science and Engineering, 2 (2), 188-195.
[7] G. M. Wajiga, X.Y. Djam1, Y. H. Kimbi and N.V.Blamah, (2011), ?A Fuzzy Expert System for the Management of Malaria?. Int. J. Pure Appl. Sci. Technol., 5(2) (2011), pp. 84-108. International Journal of Pure and Applied Sciences and Technology ISSN 2229 – 6107.
[8] Hassan Zarei, Ali VahidianKamyad and Ali Akbar Heydari (2012) ?Fuzzy Modeling and Control of HIV Infection?. Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine Volume 2012, Article ID 893474, 17 pages doi:10.1155/2012/893474.
[9] Jens Jäkel and Georg Bretthauer, (2002). Fuzzy Systems Application: CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Vol. XVII. Institute of Applied Computer Science, Forschungszentrum Karlsruhe, Germany.Pp 2-4.
[10] John McCarthy (1955). Introduction to Artificial Intelligence.
[11] Kandel A. (1992). Fuzzy Sets and Systems 84 (1996) 33 -47 (revised I August 1995). Department of lnformutionManagement. Kaohsiung Polytechnic Institute. Kuohsiung 84008.Tailcon.Taiwun. ROC.
[12] Kantesh Kumar Oad&XuDeZhi (2015). ?A Fuzzy Rule based Approach to Predict RiskLevel of Heart Disease?. Global Journal of Computer Science and Technology: C Software & Data Engineering Volume 14 Issue 3 Version 1.0 Year 2014 Type: Double Blind Peer Reviewed. International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 &Print ISSN:0975-4350
[13] Klaus-Peter Adlassnig, (2015). Fuzzy Systems in Medicine. Department of Medical Computer Sciences Section on Medical Expert and Knowledge-Based Systems University of Vienna Medical School Spitalgasse 23, A- 1090 Vienna, Austria: pp 1-4.
[14] Klir G. J., B. Yuan, (2012). Fuzzy Sets and Fuzzy Logic Theory and Applications.
[15] Lukasiewicz, J. (1930). Philosophical remarks on many-valued systems of propositional logic. Reprinted in Selected Works, L. Borkowski, ed., Studies in Logic and the Foundations of Mathematics, North-Holland, Amsterdam, 1970, pp. 153–179.
[16] Moreno, A. (2003). Medical Applications of Multi-Agent Systems. CiteSeerX.
[17] Nguyen Hoang Phuong andVladikKreinovich, (2000). Fuzzy Logic and its Application in Medicine.Department of Computer Science, University of Texas at El Paso. Published in Proc. of Asian Pacific Medical Informatics Conference APAMI-MIC`2000,;, Hong Kong, September 27-30, 2000, pp. 1-11; full version published in International Journal of Medical Informatics, 2001, Vol. 62, No. 2-3, pp. 2-3.
[18] OanaGeman (2011), ?A Fuzzy Expert Systems Design for Diagnosis of Parkinson`s Disease?, Proceedings of the 3rdInternational Conference on E-Health and Bioengineering - EHB 2011, 24th-26th November, 2011, Iasi, Romania.
[19] Overview of HIV Infection, WHO Module 1, (2015). pp. 1-4.
[20] Riley G.(1989). Fuzzy Sets and Systems 84 (1996) 33 -47 (revised I August 1995). Department of lnformution Management.Kaohsiung Polytechnic Institute.Kuohsiung 84008.Tailcon.Taiwun.ROC.
[21] Rosana M. J., Laecio C., B., Rodney C. B., Fernando G., (2004), ?Fuzzy Modeling in Symptomatic HIV Virus Infected Population?, Faculty of Mathematics, Federal University of Uberlˆandia, Uberlˆandia, MG, Brazil, Bulletin of Mathematical Biology (2004) 66, 1597–1620.
[22] Rudolf Seising1, Christian Schuh and Klaus-Peter Adlassnig, (2004). Medical Knowledge, Fuzzy Sets, and Expert Systems.Ludwig Boltzmann Institute for Expert Systems and Quality Management in Medicine, Spitalgasse 23, A-1090 Vienna, Austria.
[23] Shu-Hsien Liao, (2004). Expert system methodologies and applications—a decade review from 1995 to 2004. Department of Management Sciences and Decision Making, Tamkang University, No. 151, Yingjuan Rd, Danshuei Jen, Taipei 251, Taiwan, ROC. 2-3.
[24] WHO, (2009). ?Guidelines for HIV Diagnosis and Monitoring of Antiretroviral Therapy?. SEA-HLM-382(Rev.2)
[25] WHO, (2010). ?Clinical Guidelines for the Management of HIV & AIDS in adults And adolescents? national department of health South Africa.
[26] Wooldridge, M. (2002). An Introduction to Multi-Agent Systems. Wiley & Sons.
[27] Zadeh, L. (1965). Fuzzy sets, Information and Control, 8(3), pp. 338–353.

Fuzzification; Fuzzy Logic; Fuzzy Model; Fuzzy System; HIV/AIDS Patients