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A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets.

Mahakprit KaurTaylor CargillKevin HuiMinh VuNicola Luigi BragazziJude Dzevela Kong
Published in: JMIR formative research (2024)
This study provides a novel approach for identifying the regions of high hospital bed demand during a health care emergency scenario by analyzing Twitter sentiment data. Leveraging analyses that take advantage of natural language processing-driven tweet extraction systems has the potential to be an effective method for the early detection of medical resource demand surges.
Keyphrases
  • healthcare
  • emergency department
  • public health
  • social media
  • deep learning
  • big data
  • health information