Cargando…
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis
BACKGROUND: Pregnancy exposure registries are the primary sources of information about the safety of maternal usage of medications during pregnancy. Such registries enroll pregnant women in a voluntary fashion early on in pregnancy and follow them until the end of pregnancy or longer to systematical...
Autores principales: | Sarker, Abeed, Chandrashekar, Pramod, Magge, Arjun, Cai, Haitao, Klein, Ari, Gonzalez, Graciela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684515/ https://www.ncbi.nlm.nih.gov/pubmed/29084707 http://dx.doi.org/10.2196/jmir.8164 |
Ejemplares similares
-
Deep neural networks ensemble for detecting medication mentions in tweets
por: Weissenbacher, Davy, et al.
Publicado: (2019) -
Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
por: Magge, Arjun, et al.
Publicado: (2019) -
Deep neural networks and distant supervision for geographic location mention extraction
por: Magge, Arjun, et al.
Publicado: (2018) -
Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature
por: Magge, Arjun, et al.
Publicado: (2019) -
Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter
por: Sarker, Abeed, et al.
Publicado: (2019)