Quantitative prediction of radiographic progression in patients with axial spondyloarthritis using neural network model in a real-world setting

BACKGROUND: Predicting radiographic progression in axial spondyloarthritis (axSpA) remains limited because of the complex interaction between multiple associated factors and individual variability in real-world settings. Hence, we tested the feasibility of artificial neural network (ANN) models to p...

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Detalles Bibliográficos
Autores principales: Baek, In-Woon, Jung, Seung Min, Park, Yune-Jung, Park, Kyung-Su, Kim, Ki-Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116698/
https://www.ncbi.nlm.nih.gov/pubmed/37081563
http://dx.doi.org/10.1186/s13075-023-03050-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116698/
https://www.ncbi.nlm.nih.gov/pubmed/37081563
http://dx.doi.org/10.1186/s13075-023-03050-6

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