Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project

BACKGROUND: Studies evaluating the natural history of femoroacetabular impingement (FAI) are limited. PURPOSE: To stratify the risk of progression to osteoarthritis (OA) in patients with FAI using an unsupervised machine-learning algorithm, compare the characteristics of each subgroup, and validate...

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Detalles Bibliográficos
Autores principales: Ko, Sunho, Pareek, Ayoosh, Jo, Changwung, Han, Hyuk-Soo, Lee, Myung Chul, Krych, Aaron J., Ro, Du Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573500/
https://www.ncbi.nlm.nih.gov/pubmed/34778477
http://dx.doi.org/10.1177/23259671211050613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573500/
https://www.ncbi.nlm.nih.gov/pubmed/34778477
http://dx.doi.org/10.1177/23259671211050613

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