Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study

BACKGROUND: Osteoarthritis is the most prevalent type of arthritis. Many approaches exist for characterising radiographic knee OA, including machine learning (ML). AIMS: To examine Kellgren and Lawrence (K&L) scores from ML and expert observation, minimum joint space and osteophyte in relation t...

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Detalles Bibliográficos
Autores principales: Westbury, Leo D., Fuggle, Nicholas R., Pereira, Diogo, Oka, Hiroyuki, Yoshimura, Noriko, Oe, Noriyuki, Mahmoodi, Sasan, Niranjan, Mahesan, Dennison, Elaine M., Cooper, Cyrus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284967/
https://www.ncbi.nlm.nih.gov/pubmed/37202598
http://dx.doi.org/10.1007/s40520-023-02428-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284967/
https://www.ncbi.nlm.nih.gov/pubmed/37202598
http://dx.doi.org/10.1007/s40520-023-02428-5

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