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Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection

Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection
使用跨辖区电子病历（无需数据共享）开发疾病监测联合学习策略：在急性心肌梗塞、高血压和脓毒症检测中的应用
批准号：
468573
负责人：
Li Na
金额：
$51.27万
依托单位：
University of Calgary
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2022
资助国家：
加拿大
项目状态：
未结题
起止时间：
2022-09-01 至 2026-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=468573&lang=en
关键词：
Cross-Jurisdictional Research Detection Of Acute Myocardial Infarction Detection Of Hypertension Detection Of Sepsis Diagnostic And Prognostic Prediction Disease Surveillance Electronic Medical Records Federated Learning Machine Learning Populati

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中文摘要
翻译
电子病历（EMR）是安全、私密的终身记录，包含患者健康和即时护理历史，可用于疾病监测、临床研究和许多其他目的。电子病历数据难以跨区域共享和使用
英文摘要
Electronic Medical Records (EMRs) are secure, private, lifetime records containing patient-health and point-of-care histories, which can be used for disease surveillance, clinical studies, and many other purposes. It is hard to share and use EMR data acro
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Optimizing Resource Allocation through Data-Driven Patient Segmentation: A Machine Learning Approach to Enhance Outpatient and Home Transfusion Services
  • 批准号：
    493337
  • 项目类别：
  • 资助金额：
    $0.15万
  • 财政年份：
    2023
  • 负责人：
    Li Na
  • 依托单位：
    University of Calgary
Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Sepsis Detection
  • 批准号：
    464488
  • 项目类别：
    Operating Grants
  • 资助金额：
    $0.0万
  • 财政年份：
    2022
  • 负责人：
    Li Na
  • 依托单位：
    University of Calgary
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