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使用智能手机应用程序每日患者生成的数据对自我报告的风湿性关节炎爆发进行分类:探索性分析应用机器学习方法

Julie Gandrup1, David A Selby1,2, William G Dixon1,3

  • 1Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom.

JMIR formative research
|May 14, 2024
PubMed
概括

机器学习可以通过智能手机应用程序的日常症状数据来预测类风湿性关节炎 (RA) 爆发. 这项可行性研究表明,通过预测RA火焰,可以及时进行干预.

关键词:
关节炎性 关节炎性关节炎是一种关节炎.这是分类分类的分类.分类,分类,分类,分类.一个火焰灯.灯火可以发射火焰.共同的 共同的 共同的 共同的关节 关节 关节 关节机器学习是机器学习.移动健康的移动健康手机电话 手机电话手机电话肌肉骨系统 肌肉骨由患者生成的健康数据.这是一种类风湿性风湿性病.复发性风湿症 复发性风湿症类风湿性关节炎 类风湿性关节炎智能手机的智能手机智能手机的智能手机.这是一个症状,一个症状.症状 症状 症状 症状 症状

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