Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment

Maureen Schmitter-Edgecombe, Catherine Luna, Shenghai Dai, Diane J. Cook
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Abstract

Extraction of digital markers from passive sensors placed in homes is a promising method for understanding real-world behaviors. In this study, machine learning (ML) and multilevel modeling (MLM) a...
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利用智能家居数据和生态瞬间评估预测老年人的日常认知和生活方式行为
从放置在家中的无源传感器中提取数字标记是了解真实世界行为的一种很有前景的方法。在这项研究中,机器学习(ML)和多层次建模(MLM)是一种有效的方法。
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