Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain

Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain Publisher

Farzandipour M^{1, 2} ; Nabovati E^{1, 2} ; Fakharian E³ ; Akbari H⁴ ; Saeedi S^{1, 5}

Show Affiliations

1. Research Centre for Health Information Management, Kashan University of Medical Sciences, Kashan, Iran
2. Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
3. Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran
4. Department of Biostatistics and Public Health, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran
5. Medical Informatics, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal of Medical Engineering and Informatics Published: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. Copyright © 2023 Inderscience Enterprises Ltd.

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Style	Citing Format
MLA	Farzandipour M, et al.. "Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain." International Journal of Medical Engineering and Informatics, vol. 15, no. 3, 2023, pp. 203-212.
APA	Farzandipour M, Nabovati E, Fakharian E, Akbari H, Saeedi S (2023). Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain. International Journal of Medical Engineering and Informatics, 15(3), 203-212.
Chicago	Farzandipour M, Nabovati E, Fakharian E, Akbari H, Saeedi S. "Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain." International Journal of Medical Engineering and Informatics 15, no. 3 (2023): 203-212.
Harvard	Farzandipour M et al. (2023) 'Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain', International Journal of Medical Engineering and Informatics, 15(3), pp. 203-212.
Vancouver	Farzandipour M, Nabovati E, Fakharian E, Akbari H, Saeedi S. Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain. International Journal of Medical Engineering and Informatics. 2023;15(3):203-212.
BibTex	@article{ author = {Farzandipour M and Nabovati E and Fakharian E and Akbari H and Saeedi S}, title = {Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain}, journal = {International Journal of Medical Engineering and Informatics}, volume = {15}, number = {3}, pages = {203-212}, year = {2023} }
RIS	TY - JOUR AU - Farzandipour M AU - Nabovati E AU - Fakharian E AU - Akbari H AU - Saeedi S TI - Adaptive Neuro-Fuzzy Inference System for the Diagnosis of Non-Mechanical Low Back Pain JO - International Journal of Medical Engineering and Informatics VL - 15 IS - 3 SP - 203 EP - 212 PY - 2023 ER -

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