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Updated: Jan 9, 2026

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开发可解释的机器学习模型,以预测在接受甲醇治疗的类风湿性关节炎患者的副作用:全国性的多中心队列研究

Junbeom Jang1, Woo Jin Kim2, Sang Won Park3

  • 1Department of Medical Sciences, Kangwon National University, Chuncheon-si, The Republic of Korea.

BMJ open
|November 30, 2025
PubMed
概括

机器学习模型准确地预测了类风湿性关节炎患者的甲状腺素的副作用. 可解释的人工智能识别风险因素,使得个性化治疗和改善安全监测能够为甲醇使用者提供帮助.

关键词:
案例-控制研究研究.机器学习是机器学习.类风湿病学 类风湿病学

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