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Bayesian network models with decision tree analysis for management of childhood malaria in Malawi.

Sanya B TanejaGerald P DouglasGregory F CooperMarian G MichaelsMarek J DruzdzelShyam Visweswaran
Published in: BMC medical informatics and decision making (2021)
In resource-constrained settings, judicious use of mRDT is important. Predictive models in combination with decision analysis can provide personalized guidance on when to use mRDT in the management of childhood malaria. BN models can be efficiently derived from data to support clinical decision making.
Keyphrases
  • decision making
  • plasmodium falciparum
  • electronic health record
  • machine learning
  • childhood cancer
  • deep learning