Development and Validation of Machine Learning Models for Prediction of Fracture Risk in Patients with Elderly-Onset Rheumatoid Arthritis

OBJECTIVE: Fracture is a critical unfavorable prognostic factor in patients with rheumatoid arthritis(RA) and osteoporosis. At present, models involving clinical indices that accurately predict fracture are still uncommon. We addressed this gap by developing machine learning (ML)-based predictive mo...

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Detalles Bibliográficos
Autores principales: Chen, Renming, Huang, Qin, Chen, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581722/
https://www.ncbi.nlm.nih.gov/pubmed/36276661
http://dx.doi.org/10.2147/IJGM.S380197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581722/
https://www.ncbi.nlm.nih.gov/pubmed/36276661
http://dx.doi.org/10.2147/IJGM.S380197

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