Cargando…
An annotated data set for identifying women reporting adverse pregnancy outcomes on Twitter
Despite the prevalence in the United States of miscarriage [1], stillbirth [2], and infant mortality associated with preterm birth and low birthweight [3], their causes remain largely unknown [4], [5], [6]. To advance the use of social media data as a complementary resource for epidemiology of adver...
Autores principales: | Klein, Ari Z., Gonzalez-Hernandez, Graciela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481818/ https://www.ncbi.nlm.nih.gov/pubmed/32944604 http://dx.doi.org/10.1016/j.dib.2020.106249 |
Ejemplares similares
-
Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models
por: Klein, Ari Z, et al.
Publicado: (2022) -
Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort
por: Klein, Ari Z, et al.
Publicado: (2023) -
Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy
por: Klein, Ari Z, et al.
Publicado: (2023) -
Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers
por: Klein, Ari Z, et al.
Publicado: (2022) -
Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification
por: Klein, Ari Z, et al.
Publicado: (2022)