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Developing Population-Based Risk Tools to Predict and Reduce Premature Mortality in Canadian Cities

Developing Population-Based Risk Tools to Predict and Reduce Premature Mortality in Canadian Cities
开发基于人口的风险工具来预测和减少加拿大城市的过早死亡率
批准号：
417003
负责人：
Pagalan Lief
金额：
$7.65万
依托单位：
University of Toronto
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=417003&lang=en
关键词：
Environmental Health Epidemiological Methods Machine Learning Modelling And Simulation Premature Mortality Risk Prediction

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Premature mortality, defined as deaths before 75 years of age, is considered avoidable through appropriate prevention or timely treatment. In Canada, premature mortality rates vary across sex, socioeconomic status, and geography. In this study, I will dev
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