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Updated: May 28, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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在老年人健康监测中解决缺失数据挑战:统计和机器学习计算方法的研究

Gabriel-Vasilică Sasu1, Bogdan-Iulian Ciubotaru2, Nicolae Goga3

  • 1Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

K-Nearest Neighbors (KNN) 和支持矢量机器 (SVM) 有效地处理老年人脆弱性监测系统中缺少的数据. 这些方法在各种缺失数据场景中表现优于其他方法,提高了医疗保健数据质量.

关键词:
在海里,海里,海里这就是为什么MCAR MCAR.在MNAR中,MNAR是MNAR.深度学习是一种深度学习.脆弱性检测检测脆弱性的检测老年人的医疗保健卫生监测系统 卫生监测系统机器学习是机器学习.缺失的数据归算缺失的数据归算.可以穿戴的传感器.

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