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Forecasting Internally Displaced Population Migration Patterns in Syria and Yemen.

Benjamin Q HuynhSanjay Basu
Published in: Disaster medicine and public health preparedness (2019)
Integrating diverse data sources into a machine learning model appears to improve IDP migration prediction. Further work should examine whether implementation of such models can enable proactive aid allocation for IDPs in anticipation of forecast arrivals.
Keyphrases
  • machine learning
  • big data
  • primary care
  • healthcare
  • drinking water
  • artificial intelligence
  • electronic health record
  • quality improvement