Predicting Total Knee Replacement from Symptomology and Radiographic Structural Change Using Artificial Neural Networks—Data from the Osteoarthritis Initiative (OAI)

Predicting Total Knee Replacement from Symptomology and Radiographic Structural Change Using Artificial Neural Networks—Data from the Osteoarthritis Initiative (OAI)

The aim of the study was to longitudinally investigate symptomatic and structural factors prior to total knee replacement (TKR) surgery in order to identify influential factors that can predict a patient’s need for TKR surgery. In total, 165 participants (60% females; 64.5 ± 8.4 years; 29.7 ± 4.7 kg...

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Bibliographic Details
Main Authors: Stephan Heisinger, Wolfgang Hitzl, Gerhard M. Hobusch, Reinhard Windhager, Sebastian Cotofana
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Clinical Medicine
Subjects:
Osteoarthritis
Knee
Total Knee Replacement
Neural Networks
Prediction model
Online Access:https://www.mdpi.com/2077-0383/9/5/1298

Internet

https://www.mdpi.com/2077-0383/9/5/1298

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