Digital envirotyping: quantifying environmental determinants of health and behavior
Digital envirotyping: quantifying environmental determinants of health and behavior
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DOI：
10.1038/s41746-020-0245-3
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发表时间：
2020-03-12
影响因子：
15.2
通讯作者：
McClernon, F. Joseph
中科院分区：
文献类型：
--
作者：
Engelhard, Matthew M.;Oliver, Jason A.;McClernon, F. Joseph
数字表型鉴定工作使用可穿戴设备将丰富的生理数据与健康结果或感兴趣的行为联系起来。围绕这些现象的环境背景受到的关注较少，但迫切需要了解它们的前因，并提供适合背景的干预措施。改进的智能眼镜与深度学习的结合代表着一个技术转折点，它呼吁对环境和健康进行更全面、更雄心勃勃的研究。
Digital phenotyping efforts have used wearable devices to connect a rich array of physiologic data to health outcomes or behaviors of interest. The environmental context surrounding these phenomena has received less attention, yet is critically needed to understand their antecedents and deliver context-appropriate interventions. The coupling of improved smart eyewear with deep learning represents a technological turning point, one that calls for more comprehensive, ambitious study of environments and health.