Cargando…
Deep learning for pollen allergy surveillance from twitter in Australia
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data collection as cost-effective and unobtrusive alternativ...
Autores principales: | Rong, Jia, Michalska, Sandra, Subramani, Sudha, Du, Jiahua, Wang, Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839169/ https://www.ncbi.nlm.nih.gov/pubmed/31699071 http://dx.doi.org/10.1186/s12911-019-0921-x |
Ejemplares similares
-
Neural attention with character embeddings for hay fever detection from twitter
por: Du, Jiahua, et al.
Publicado: (2019) -
Characteristics of pollen-related food allergy based on individual pollen allergy profiles in the Chinese population
por: Li, Jun-Da, et al.
Publicado: (2020) -
Feature selection for helpfulness prediction of online product reviews: An empirical study
por: Du, Jiahua, et al.
Publicado: (2019) -
Chinese Birch Pollen Allergy and Immunotherapy in Mice
por: Xie, Zhijuan, et al.
Publicado: (2019) -
Citrus Allergy from Pollen to Clinical Symptoms
por: Iorio, Rosa Anna, et al.
Publicado: (2013)