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Identification of patients admitted with COPD exacerbations and stratification of those at high risk of readmission using natural language processing and machine learning

Identification of patients admitted with COPD exacerbations and stratification of those at high risk of readmission using natural language processing and machine learning
使用自然语言处理和机器学习识别入院的 COPD 加重患者并对再入院高风险患者进行分层
批准号：
400152
负责人：
Wu Robert
金额：
$0.73万
依托单位：
University Health Network (Toronto)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2018
资助国家：
加拿大
项目状态：
已结题
起止时间：
2018-11-01 至 2019-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=400152&lang=en
关键词：
Copd Hospital Admissions Machine Learning Natural Language Processing Readmissions

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中文摘要
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英文摘要
Patients with Chronic Obstructive Pulmonary Disease (COPD) who are admitted to hospital are at high risk of readmission. While therapies have improved and there are evidence-based guidelines to reduce readmissions, there are significant challenges to impl
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Developing a wearable device and a mobile application that aids patients in self-management of their COPD by providing biofeedback, education and guidance
  • 批准号：
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  • 资助金额：
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    University Health Network (Toronto)
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海外基金