ArticleHealth information science and systems2019
Neural attention with character embeddings for hay fever detection from twitter.
Article in Health information science and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Forecasting seasonal allergic rhinitis through integrated analysis of social media and online drug sales data.The World Allergy Organization journal · 2026Article
- Research on pollen allergy in Fuzhou, China: from the online public concern surveys to pollen monitoring.Frontiers in public health · 2026Article
- Internet-based surveillance to track trends in seasonal allergies across the United States.PNAS nexus · 2024Article
- Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm.Health information science and systems · 2023Article
- A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services.Health information science and systems · 2023Article
- The nnU-Net based method for automatic segmenting fetal brain tissues.Health information science and systems · 2023Article
- Auxiliary signal-guided knowledge encoder-decoder for medical report generation.World wide web · 2023Article
- An assessment of random forest technique using simulation study: illustration with infant mortality in Bangladesh.Health information science and systems · 2022Article
- A multi-label classification system for anomaly classification in electrocardiogram.Health information science and systems · 2022Article
- A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration.Health information science and systems · 2022Article
- Automatic breast lesion segmentation in phase preserved DCE-MRIs.Health information science and systems · 2022Article
- Automated detection of COVID-19 through convolutional neural network using chest x-ray images.PloS one · 2022Article
- Sentiment analysis and topic modeling for COVID-19 vaccine discussions.World wide web · 2022Article
- COVID-19 analytics: Towards the effect of vaccine brands through analyzing public sentiment of tweets.Informatics in medicine unlocked · 2022Article
- The applications of eHealth technologies in the management of asthma and allergic diseases.Clinical and translational allergy · 2021Review
- Image Preprocessing in Classification and Identification of Diabetic Eye Diseases.Data science and engineering · 2021Article
- Translational health technology and system schemes: enhancing the dynamics of health informatics.Health information science and systems · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper aims to leverage the highly unstructured user-generated content in the context of pollen allergy surveillance using neural networks with character embeddings and the attention mechanism. Currently, there is no accurate representation of hay fever prevalence, particularly in real-time scenarios. Social media serves as an alternative to extract knowledge about the condition, which is valuable for allergy sufferers, general practitioners, and policy makers. Despite tremendous potential offered, conventional natural language processing methods prove limited when exposed to the challenging nature of user-generated content. As a result, the detection of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.