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Forecasting Pediatric Emergency Department Crowding - The Pediatric CrowdED Study

预测儿科急诊科拥挤情况 - 儿科 CrowdED 研究

批准号：

428999

负责人：

Osmanlliu Esli

金额：

$1.27万

依托单位：

McGill University

依托单位国家：

加拿大

项目类别：

Studentship Programs

财政年份：

2019

资助国家：

加拿大

项目状态：

已结题

起止时间：

2019-12-01 至 2020-12-01

来源：

https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=428999&lang=en

关键词：

Crowding Emergency Department Machine Learning Pediatric Prediction Time-Series Analysis

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"Pediatric emergency department (PED) crowding is a direct threat to the care of sick children, as it limits the ability of healthcare teams to recognize severe illness early. Moreover, it is associated with an increased risk of medication errors, to whic

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