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https://doi.org/10.17559/TV-20150531034750

A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist

Fatemeh Mohammadi Amiri ; Department of Information Technology Management, Alzahra University, Tehran, Iran
Ameneh Khadivar ; Management Department, Alzahra University, Tehran, Iran

Puni tekst: engleski, pdf (1 MB) str. 147-155 preuzimanja: 1.225* citiraj
APA 6th Edition
Amiri, F.M. i Khadivar, A. (2017). A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist. Tehnički vjesnik, 24 (Supplement 1), 147-155. https://doi.org/10.17559/TV-20150531034750
MLA 8th Edition
Amiri, Fatemeh Mohammadi i Ameneh Khadivar. "A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 147-155. https://doi.org/10.17559/TV-20150531034750. Citirano 01.03.2021.
Chicago 17th Edition
Amiri, Fatemeh Mohammadi i Ameneh Khadivar. "A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist." Tehnički vjesnik 24, br. Supplement 1 (2017): 147-155. https://doi.org/10.17559/TV-20150531034750
Harvard
Amiri, F.M., i Khadivar, A. (2017). 'A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist', Tehnički vjesnik, 24(Supplement 1), str. 147-155. https://doi.org/10.17559/TV-20150531034750
Vancouver
Amiri FM, Khadivar A. A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 1):147-155. https://doi.org/10.17559/TV-20150531034750
IEEE
F.M. Amiri i A. Khadivar, "A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist", Tehnički vjesnik, vol.24, br. Supplement 1, str. 147-155, 2017. [Online]. https://doi.org/10.17559/TV-20150531034750
Puni tekst: hrvatski, pdf (1 MB) str. 147-155 preuzimanja: 214* citiraj
APA 6th Edition
Amiri, F.M. i Khadivar, A. (2017). Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu. Tehnički vjesnik, 24 (Supplement 1), 147-155. https://doi.org/10.17559/TV-20150531034750
MLA 8th Edition
Amiri, Fatemeh Mohammadi i Ameneh Khadivar. "Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 147-155. https://doi.org/10.17559/TV-20150531034750. Citirano 01.03.2021.
Chicago 17th Edition
Amiri, Fatemeh Mohammadi i Ameneh Khadivar. "Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu." Tehnički vjesnik 24, br. Supplement 1 (2017): 147-155. https://doi.org/10.17559/TV-20150531034750
Harvard
Amiri, F.M., i Khadivar, A. (2017). 'Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu', Tehnički vjesnik, 24(Supplement 1), str. 147-155. https://doi.org/10.17559/TV-20150531034750
Vancouver
Amiri FM, Khadivar A. Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 1):147-155. https://doi.org/10.17559/TV-20150531034750
IEEE
F.M. Amiri i A. Khadivar, "Fuzzy ekspertni sustav za dijagnozu i liječenje mišićnoskeletnih poremećaja u ručnom zglobu", Tehnički vjesnik, vol.24, br. Supplement 1, str. 147-155, 2017. [Online]. https://doi.org/10.17559/TV-20150531034750

Sažetak
Medical expert system is an application which can effectively contribute to decisions on diagnosis and treatment of diseases. A major part of the knowledge related to diagnosis of symptoms and treatment of illnesses is experimental. The problem is that how this knowledge can be extracted and made available to others.The purpose of this study is to design an expert system for diagnosis and treatment of musculoskeletal disorders in wrist in fuzzy environment.The knowledge is achieved from 15 elites in the field of musculoskeletal disorders. For data gathering related to symptoms of the disorders, a fuzzy Delphi method is used. A Delphi method is also used for gathering data related to treatments. Finally, a fuzzy expert system is developed for diagnosis and treatment of musculoskeletal disorders in wrist using MATLAB software. The designed system is able to diagnose seven disorders of the wrist. The input to the system is the magnitude of symptoms and the output is the scores given by the system to disorders; finally, the disorder with the highest score is displayed as the systemic diagnosis for which treatments are suggested.The systemic diagnosis is compared to elite diagnosis using statistical analysis conducted by SPSS software. Results show a significant correlation between two variables. By comparing the variables, it is found that 86,7 % of the systemic diagnoses were similar to elite diagnoses. In the absence of elites, diagnosis and treatment can be performed to a relatively reliable level. As results of current research, medical expert systems can be used as a scientific source by medical students. It can also help users as an auxiliary diagnostic system to diagnose and treat diseases.

Ključne riječi
fuzzy approach; knowledge acquisition; medical expert system; musculoskeletal disorders; treatment

Hrčak ID: 181253

URI
https://hrcak.srce.hr/181253

[hrvatski]

Posjeta: 1.857 *