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Prediction of infant hospitalization and death using clinical features assessed during routine postnatal household visits in Dhaka, Bangladesh

Prediction of infant hospitalization and death using clinical features assessed during routine postnatal household visits in Dhaka, Bangladesh
使用孟加拉国达卡例行产后家访期间评估的临床特征来预测婴儿住院和死亡
批准号：
458245
负责人：
Fung Alastair
金额：
$7.65万
依托单位：
University of Toronto
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-11-01 至 2024-11-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=458245&lang=en
关键词：
Bangladesh Developing Countries Home Visits Hospitalization Infant Machine Learning Mortality Newborn Prediction Model Regression

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中文摘要
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英文摘要
In low- and middle-income countries (LMICs), current World Health Organization (WHO) guidelines recommend routine home visits by community health workers to assess infants and urgently refer to hospital if any of eight 'danger' signs (e.g., fever >37.5C)
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Evaluating WHO infant ‘danger’ signs and other clinical signs during routine postnatal assessments as predictors of hospitalization and mortality in Dhaka, Bangladesh
  • 批准号：
    449757
  • 项目类别：
    Studentship Programs
  • 资助金额：
    $1.27万
  • 财政年份：
    2020
  • 负责人：
    Fung Alastair
  • 依托单位：
    University of Toronto
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