Adaptive neuro-fuzzy inference system for the diagnosis of non-mechanical low back pain
by Mehrdad Farzandipour; Ehsan Nabovati; Esmaeil Fakharian; Hossein Akbari; Soheila Saeedi
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 15, No. 3, 2023

Abstract: Back pain is one of the most important causes of disability. Clinical decision support systems (CDSSs) can help physicians diagnose diseases with greater precision. This study designs and implements a CDSS to diagnose non-mechanical low back pain (LBP), including spinal brucellosis, ankylosing spondylitis, spinal tuberculosis, and spinal osteoarthritis using an adaptive neuro-fuzzy inference system (ANFIS). The highest corrected classification percentage was related to spinal brucellosis (82.8%), and CDSS was able to differentiate four non-mechanical LBP types.

Online publication date: Thu, 04-May-2023

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