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

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

Abstract 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) mod...

Full description

Bibliographic Details
Main Authors: In-Woon Baek, Seung Min Jung, Yune-Jung Park, Kyung-Su Park, Ki-Jo Kim
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Arthritis Research & Therapy
Subjects:
Axial spondyloarthritis
Radiographic progression
Artificial neural network
Quantitative prediction
Real-world setting
Online Access:https://doi.org/10.1186/s13075-023-03050-6

Internet

https://doi.org/10.1186/s13075-023-03050-6

Similar Items