Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning

Background and Aims: Accurately predicting the response to methotrexate (MTX) in juvenile idiopathic arthritis (JIA) patients before administration is the key point to improve the treatment outcome. However, no simple and reliable prediction model has been identified. Here, we aimed to develop and v...

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Detalles Bibliográficos
Autores principales: Mo, Xiaolan, Chen, Xiujuan, Li, Hongwei, Li, Jiali, Zeng, Fangling, Chen, Yilu, He, Fan, Zhang, Song, Li, Huixian, Pan, Liyan, Zeng, Ping, Xie, Ying, Li, Huiyi, Huang, Min, He, Yanling, Liang, Huiying, Zeng, Huasong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791251/
https://www.ncbi.nlm.nih.gov/pubmed/31649533
http://dx.doi.org/10.3389/fphar.2019.01155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791251/
https://www.ncbi.nlm.nih.gov/pubmed/31649533
http://dx.doi.org/10.3389/fphar.2019.01155

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