Volume 13, Issue 3 (Aug & Sep 2019)                   payavard 2019, 13(3): 181-193 | Back to browse issues page

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Mortazavi S M J, Torabi Konjin F, Minaei Bidgoli B, Okati A. Identifying Important Factors of Arthroplasty in Patients with Degenerative Knee Osteoarthritis Based on Association Rule Mining Approach. payavard. 2019; 13 (3) :181-193
URL: http://payavard.tums.ac.ir/article-1-6794-en.html
1- Professor, Department of Orthopedics , Faculty of Medics, Tehran University of Medical Sciences, Tehran, Iran , smjmort@yahoo.com
2- Master of Science in IT Engineering, Faculty of Technicality and Engineering, Islamic Azad University Of Central Tehran Branch, Tehran, Iran
3- Associate Professor, Department of Computer Engineering, Faculty of Computer Engineering, Iran University of Science & Technology, Tehran, Iran
4- Assistant Professor, Department of Orthopedics, Faculty of Medics, Zahedan University of Medical Sciences, Zahedan, Iran
Abstract:   (793 Views)
Background and Aim: Total Knee Arthroplasty (TKA) aims to reduce the pain and improve the quality of life of patients with progressive osteoarthritis. When the indication of patients' disease is established, this type of surgery should be performed as soon as possible because patients' late attendance increases surgical complications. Therefore, identification of factors influencing the choice of this type of treatment approach is of great importance. The purpose of this study is to identify the factors that influence the choice of this treatment approach in patients using the Apriori algorithm in the form of Association Rules.
Materials and Methods: This study is performed on 233 patients referring to Imam Khomeini Hospital in Tehran for a knee replacement surgery; the needed data have been registered at Bone and Joint Reconstruction Research Center. In this study, after the preprocessing stage, the important factors in decision making of knee replacement surgery have been identified by using the Apriori algorithm and by its implementation in the software environment of RStudio. After being extracted, these factors and the relationship among them are given to orthopedic practitioners for confirmation.
Results: In this study, flexion contracture above 20 degrees, deformity (varous-valgus) above 15 degrees, final flexion between 51-75 degrees, and medial cartilage destruction were, respectively, the most important factors in selecting patients for knee replacement therapy.
Conclusion: The results showed that data-mining Algorithms could be used to identify effective factors to select patients for this treatment approach.
Full-Text [PDF 657 kb]   (79 Downloads)    
Type of Study: Research | Subject: Laboratory Sciences
ePublished: 2019/09/21

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