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Early Prediction of Clinical Response to Etanercept Treatment in Juvenile Idiopathic Arthritis Using Machine Learning
Background and AimsAt 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 admin...
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| Main Authors: | , , , , , , , , , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2020-07-01
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| 叢編: | Frontiers in Pharmacology |
| 主題: | |
| 在線閱讀: | https://www.frontiersin.org/article/10.3389/fphar.2020.01164/full |
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