Early Prediction of Clinical Response to Etanercept Treatment in Juvenile Idiopathic Arthritis Using Machine Learning

BACKGROUND AND AIMS: At present, there is a lack of simple and reliable model for early prediction of the efficacy of etanercept in the treatment of juvenile idiopathic arthritis (JIA). This study aimed to generate and validate prediction models of etanercept efficacy in patients with JIA before adm...

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Detalles Bibliográficos
Autores principales: Mo, Xiaolan, Chen, Xiujuan, Ieong, Chifong, Zhang, Song, Li, Huiyi, Li, Jiali, Lin, Guohao, Sun, Guangchao, He, Fan, He, Yanling, Xie, Ying, Zeng, Ping, Chen, Yilu, Liang, Huiying, Zeng, Huasong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411125/
https://www.ncbi.nlm.nih.gov/pubmed/32848772
http://dx.doi.org/10.3389/fphar.2020.01164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411125/
https://www.ncbi.nlm.nih.gov/pubmed/32848772
http://dx.doi.org/10.3389/fphar.2020.01164

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