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Informed Random Forest to Model Associations of Epidemiological Priors, Government Policies, and Public Mobility.

Tsaone Swaabow ThapeloDimane MpoelengGregory Hillhouse
Published in: MDM policy & practice (2023)
This framework is initiated by incorporating model outputs from an epidemic model to a machine learning model.An informed random forest (RF) is instantiated to model government and public responses to the COVID-19 pandemic.This framework does not require data transformations, and the epidemic model is shown to boost the RF's performance.This is a baseline knowledge-informed learning framework for assessing public health interventions in Botswana.
Keyphrases
  • public health
  • machine learning
  • healthcare
  • climate change
  • emergency department
  • mental health
  • electronic health record
  • deep learning
  • drug induced