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Updated: Feb 18, 2026

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在基于mHealth的疾病管理计划中调查缩血压变化的特征工程预测因素

Masashi Kanai1,2, Sangjun Park3, Takahiro Miki2

  • 1Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan.

Hypertension research : official journal of the Japanese Society of Hypertension
|February 16, 2026
PubMed
概括

移动健康计划中的特征工程改善了对静脉压变化的早期预测. 然而,随着时间的推移,血液压力预测的整体模型性能与这些工程特征相似或不相似.

关键词:
血压变化 血压变化数字生物标志物数字生物标志物数字高血压是指数字高血压.实施性高血压.移动健康 移动健康 移动健康 移动健康机器学习是机器学习.早晨高血压是什么意思预测 预测 预测 预测

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