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Adaptive Neuro-fuzzy System for Determining the Severity Level of Osteomyelitis and Control | Abstract
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Abstract

Adaptive Neuro-fuzzy System for Determining the Severity Level of Osteomyelitis and Control

Author(s): Jerome M Gumpy, Ibrahim Goni, Umar Timothy Maigari

This research is aimed at developing Neuro-fuzzy system that would determine the severity level of Osteomyelitis (OM) and control. Osteomyelitis is a major disease causing disability and reduction in quality of life. The symptoms of Osteomyelitis were analyzed based on the proper discussion with Experts to gather information about possible symptoms which are used as inputs parameters to the system four (4) inputs were used in this study that is pain, swelling, fever and age with their respective linguistic variables, one hundred and five (105) rules were generated for the system to draw conclusion Neuro-fuzzy methodology and triangular membership function is used throughout this experiment MATLAB 7.0 is used to implement this experiment. This study has paved a way to the creation of intelligent system that would determine the severity level of any kind of disease.