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Multivariate analysis and prediction of inter-relationships between cognitive and non-cognitive measures in the CLSA comprehensive sample

Multivariate analysis and prediction of inter-relationships between cognitive and non-cognitive measures in the CLSA comprehensive sample
里昂证券综合样本中认知和非认知测量之间相互关系的多变量分析和预测
批准号：
353100
负责人：
Buchsbaum Bradley R
金额：
$4.81万
依托单位：
Baycrest Centre for Geriatric Care (Toronto)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2016
资助国家：
加拿大
项目状态：
已结题
起止时间：
2016-08-01 至 2017-08-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=353100&lang=en
关键词：
Aging Big Data Cognition Lifestyle Factors Multivariate Analysis Predictive Modeling

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中文摘要
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英文摘要
There is a growing understanding that different facets of "healthy cognitive aging" are strongly influenced by a large number of non-cognitive variables such as diet and lifestyle, physical activity, nutrition, and other physical health indices. Moreover,
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis