Cargando…
Automated machine learning-based prediction of the progression of knee pain, functional decline, and incidence of knee osteoarthritis in individuals at high risk of knee osteoarthritis: Data from the osteoarthritis initiative study
OBJECTIVE: This study aimed to examine the performance of machine learning models in predicting the progression of knee pain, functional decline, and incidence of knee osteoarthritis (OA) in high-risk individuals, with automated machine learning (AutoML) being used to automate the prediction process...
Autores principales: | Chen, Tianrong, Or, Calvin Kalun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685797/ https://www.ncbi.nlm.nih.gov/pubmed/38033512 http://dx.doi.org/10.1177/20552076231216419 |
Ejemplares similares
-
Perceptions of a machine learning-based
lower-limb exercise training system among older adults with knee pain
por: Chen, Tianrong, et al.
Publicado: (2023) -
Foot and ankle pain and risk of incident knee osteoarthritis and knee pain: Data from the Multicentre Osteoarthritis Study
por: Perry, Thomas A., et al.
Publicado: (2021) -
Machine learning in knee osteoarthritis: A review
por: Kokkotis, C., et al.
Publicado: (2020) -
Assessment of Pain in Osteoarthritis of the Knee
por: Thirumaran, Aricia Jieqi, et al.
Publicado: (2023) -
Magnetic Resonance Imaging–Defined Osteoarthritis Features and Anterior Knee Pain in Individuals With, or at Risk for, Knee Osteoarthritis: A Multicenter Study on Osteoarthritis
por: Macri, Erin M., et al.
Publicado: (2022)