An NLP pipeline that detects Twitter users reporting a term pregnancy and normal birthweight achieves user-level F1 of 0.933, providing candidate comparator groups for pregnancy-outcome studies.
Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000
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Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
An NLP pipeline that detects Twitter users reporting a term pregnancy and normal birthweight achieves user-level F1 of 0.933, providing candidate comparator groups for pregnancy-outcome studies.