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Leveraging high-volume data to characterize age and individual-specific vital signs and to develop novel geriatric vital signs that optimally predict clinical outcomes in older adults

Leveraging high-volume data to characterize age and individual-specific vital signs and to develop novel geriatric vital signs that optimally predict clinical outcomes in older adults
利用大量数据来表征年龄和个体特定的生命体征，并开发新的老年生命体征，以最佳地预测老年人的临床结果
批准号：
451142
负责人：
Nguyen Quoc Dinh
金额：
$24.52万
依托单位：
Centre hospitalier de l'Universit de Montral (CHUM)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-09-01 至 2024-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=451142&lang=en
关键词：
Aging Big Data Clinical Epidemiology Heterogeneity Older Adults Reference Ranges Triage Vital Signs

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中文摘要
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英文摘要
Vital signs are used everyday by healthcare professionals to quickly screen and assess the health status of patients. Heart rate, blood pressure, temperature, respiratory rate, and blood oxygen level are the backbone of clinical management by informing ho
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Prize - 202109PJT - Leveraging high-volume data to characterize age and individual-specific vital signs and to develop novel geriatric vital signs that optimally predict clinical outcomes in older adults
Frailty and Risk Prediction of Atherosclerotic Cardiovascular Diseases
  • 批准号：
    383372
  • 项目类别：
    Studentship Programs
  • 资助金额：
    $7.65万
  • 财政年份：
    2017
  • 负责人：
    Nguyen Quoc Dinh
  • 依托单位：
    McGill University
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis