Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody

Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody

ObjectiveWe previously identified the independent predictors of recurrent relapse in neuromyelitis optica spectrum disorder (NMOSD) with anti-aquaporin-4 antibody (AQP4-ab) and designed a nomogram to estimate the 1- and 2-year relapse-free probability, using the Cox proportional hazard (Cox-PH) mode...

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Bibliographic Details
Main Authors: Liang Wang, Lei Du, Qinying Li, Fang Li, Bei Wang, Yuanqi Zhao, Qiang Meng, Wenyu Li, Juyuan Pan, Junhui Xia, Shitao Wu, Jie Yang, Heng Li, Jianhua Ma, Jingzi ZhangBao, Wenjuan Huang, Xuechun Chang, Hongmei Tan, Jian Yu, Lei Zhou, Chuanzhen Lu, Min Wang, Qiang Dong, Jiahong Lu, Chongbo Zhao, Chao Quan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neurology
Subjects:
neuromyelitis optica spectrum disorder
anti-aquaporin-4 antibody
machine learning
deep learning
relapse prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.947974/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.947974/full

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