Taiwo K.F

Work place: Dept. of Compurt Science, Federal College of Education (Tech.), Gombe, Nigeria

E-mail: victory4kemi@yahoo.com


Research Interests: Software, Software Construction, Software Creation and Management, Artificial Intelligence, Data Structures and Algorithms


Taiwo Kemi Funke holds a B.Sc. and M.Sc in Computer Science from University of Ilorin, Ilorin, Nigeria. She currently lectures at Federal College of Education (Technical), Gombe, Gombe State, Nigeria. Her current research interest areas are artificial intelligence and Software Engineering. She is a member of Nigerian Computer Society (NCS) and Computer Professional Registration Council of Nigeria (CPN).

Author Articles
Fuzzy-Based System for Determining the Severity Level of Knee Osteoarthritis

By Justice O. Emuoyibofarhe Taiwo K.F

DOI: https://doi.org/10.5815/ijisa.2012.09.06, Pub. Date: 8 Aug. 2012

The task of medical diagnosis, unlike other diagnostic processes is more complex because a lot of vagueness, linguistic uncertainty, subjectivity, measurement imprecision, natural diversity are all prominently present in medical diagnosis. Osteoarthritis (OA) of the knee is a major public health issue causing chronic disability and reduction in quality of life; it is reported to be associated with a significant decline in function and causes a higher rate of disability than any other chronic condition. Osteoarthritis (OA) exacts a cost in terms of pain, limited mobility, and decreased function among a wide range of individuals. With improvement in science and technology, intelligent computing has been used to assist in enhancing qualitative services.

This paper reports the development of a fuzzy-based system to determine the level of severity of knee osteoarthritis, given some input conditions. The system was implemented and simulated using MATLAB Fuzzy Logic Toolbox. The results are entrusting and promising based on the flexibility and case of adaptability.

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