Addressing the single-risk single-disease framework through deep learning and agent-based modelling: applications in multimorbidity

通过深度学习和基于代理的建模解决单一风险单一疾病框架：在多发病中的应用

• 批准号: 458247
• 负责人: Giesinger Ingrid K
• 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: 2021
• 资助国家: 加拿大
• 起止时间: 2021-11-01 至 2024-11-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=458247&lang=en
• 关键词: Aging; Chronic Diease; Epidemiological Methods; Health Equity; Multimorbidity; Social Determinants Of Health

It is increasingly common for individuals to have two or more chronic conditions, which is often referred to as multimorbidity. As society ages, increased occurrences of multimorbidity is a challenge for health service providers. Multimorbidity is influen

越来越多的人患有两种或两种以上的慢性疾病，这通常被称为多发病。随着社会老龄化，多发性硬化症的发生率增加，对卫生服务提供者来说是一个挑战。多因素影响