A persisting presence: Using natural language processing methods to identify previously uncaptured and mild cases of pertussis in the Electronic Medical Record Administrative data Linked Database (EMRALD) to assess how waning immunity from the acellular v
A persisting presence: Using natural language processing methods to identify previously uncaptured and mild cases of pertussis in the Electronic Medical Record Administrative data Linked Database (EMRALD) to assess how waning immunity from the acellular v
持续存在：使用自然语言处理方法来识别电子病历管理数据链接数据库 (EMRALD) 中以前未捕获的轻度百日咳病例，以评估无细胞免疫减弱的情况
批准号：
408174
负责人：
McBurney Shilo H
金额：
$7.65万
依托单位：
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2018
资助国家：
加拿大
项目状态：
已结题
起止时间：
2018-10-01 至 2021-10-01
中文摘要
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英文摘要
Pertussis (whooping cough) is a serious health concern that can lead to death, particularly in infants. Pertussis is preventable through vaccination, but in recent years the number of cases has been increasing. The estimated number of pertussis cases worl
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