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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...
Autores principales: | Ko, Sunho, Pareek, Ayoosh, Jo, Changwung, Han, Hyuk-Soo, Lee, Myung Chul, Krych, Aaron J., Ro, Du Hyun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
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 |
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