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Clustering COPD Patient Trajectories via Dirichlet Process Mixture Models with Fixed Effects Continuous-Time Hidden Markov Models

Clustering COPD Patient Trajectories via Dirichlet Process Mixture Models with Fixed Effects Continuous-Time Hidden Markov Models
通过具有固定效应连续时间隐马尔可夫模型的狄利克雷过程混合模型对 COPD 患者轨迹进行聚类
批准号：
400066
负责人：
Luo Yu
金额：
$0.11万
依托单位：
McGill University
依托单位国家：
加拿大
项目类别：
财政年份：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-01-01 至 2020-01-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=400066&lang=en
关键词：
Administrative Data Chronic Disease Surveillance Chronic Obstructive Pulmonary Disease Clustering Dirichlet Process Mixture Models Disease Progression Models Health Care Services Markov Models Trajectories

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中文摘要
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英文摘要
Understanding the progression of chronic diseases, such as COPD, is important to inform early diagnosis, personalize care and healthcare system management. Data from clinical and administrative systems have the potential to advance this understanding, but
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Latent Multi-State Models for Non-Equidistant Longitudinal Observations, with Application to Health Care Trajectories
  • 批准号：
    382878
  • 项目类别：
  • 资助金额：
    $0.11万
  • 财政年份：
    2018
  • 负责人：
    Luo Yu
  • 依托单位：
    McGill University