Objective User-generated content (UGC) in online environments provides opportunities to
learn an individual's health status outside of clinical settings. However, the nature of UGC …

Abstract Introduction According to the World Health Organization (WHO), over 130 million
people are in constant need of humanitarian assistance due to natural disasters, disease …

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 …

During a new disease outbreak, frustration and uncertainties among affected and vulnerable
population increase. Affected communities look for known symptoms, prevention measures …

Twitter users are increasingly using the platform to share information, particularly in the case
of disease outbreaks such as COVID-19. It's difficult to find informative tweets about …

At the outbreak of an epidemic, affected communities want/need to get aware of disease
symptoms, preventive measures, and treatment strategies. On the other hand, health …

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 …

Although rubella is an infectious disease that can be prevented by vaccination, there have
been periodic epidemics in Japan, mainly among adult males. One of the reasons for this is …

Background Health-related social media data are increasingly used in disease-surveillance
studies, which have demonstrated moderately high correlations between the number of …

Background: Health-related social media data are increasingly being used in disease
surveillance studies. In particular, surveillance of infectious diseases such as influenza has …