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Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study.

Maximilian SchillingLennart RickmannGabriele HutschenreuterCord Spreckelsen
Published in: JMIR medical informatics (2022)
Both models allow for predictions of platelet demand with similar and sufficient accuracy to significantly reduce waste and shortage in a retrospective simulation study. The possible improvements in platelet inventory management are roughly equivalent to US $250,000 per year.
Keyphrases
  • neural network
  • heavy metals
  • risk assessment
  • sewage sludge
  • psychometric properties