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Longitudinal Tracking of Health Status Using Machine Learning Analysis of Wearable Sensors: A Framework for Non-Intrusively Detecting Deteriorating Health

Longitudinal Tracking of Health Status Using Machine Learning Analysis of Wearable Sensors: A Framework for Non-Intrusively Detecting Deteriorating Health
使用可穿戴传感器的机器学习分析来纵向跟踪健康状况：非侵入式检测健康状况恶化的框架
批准号：
416826
负责人：
Hedge Eric T
金额：
$7.65万
依托单位：
University of Waterloo (Ontario)
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-11-01 至 2022-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=416826&lang=en
关键词：
Bed Rest Biological Aging Cardiorespiratory Fitness Exercise Health Machine Learning Older Adults Oxygen Uptake Smart Device Wearable Sensors

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中文摘要
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英文摘要
The average age of the Canadian population is increasing rapidly. As a result, health care costs are rising and the importance of maintaining a healthy, active lifestyle is becoming very clear. One way to promote healthy living and improve early detection
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会议论文
Novel ex vivo models to interrogate the impact of circulating factors on vascular functon and health
  • 批准号：
    473898
  • 项目类别：
    Miscellaneous Programs
  • 资助金额：
    $0.44万
  • 财政年份：
    2022
  • 负责人：
    Hedge Eric T
  • 依托单位：
    University of Colorado (Boulder)
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