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Improving flexibility and performance of the Acute Care Enhanced Surveillance (ACES) System for public health surveillance: an ensemble of state-of-the-art machine learning and rule-based natural language processing methods

Improving flexibility and performance of the Acute Care Enhanced Surveillance (ACES) System for public health surveillance: an ensemble of state-of-the-art machine learning and rule-based natural language processing methods
提高用于公共卫生监测的急性护理增强监测 (ACES) 系统的灵活性和性能：最先进的机器学习和基于规则的自然语言处理方法的集合
批准号：
468864
负责人：
Carter Megan A
金额：
$7.29万
依托单位：
KFL&A Public Health (Kingston, Ontario)
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：
已结题
起止时间：
2022-05-01 至 2023-05-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=468864&lang=en
关键词：
Artificial Intelligence Emergency Department Chief Complaints Emergency Preparedness Emerging Health Conditions Machine Learning Near Real-Time Ontario Hospitals Public Health System Situational Awareness Syndromic Surveillance

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Carter Megan A的其他基金

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中文摘要
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英文摘要
The Acute Care Enhanced Surveillance (ACES) system, based at Kingston, Frontenac, Lennox & Addington (KFL&A) Public Health, is a public health surveillance system that monitors patient activity in near-real- time at 97% of Ontario's acute care hospitals.
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  • 批准号：
    184720
  • 项目类别：
    Studentship Programs
  • 资助金额：
    $7.65万
  • 财政年份：
    2008
  • 负责人：
    Carter Megan A
  • 依托单位：
    University of Ottawa