On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 33295626

Abstract

OBJECTIVE: This work investigates how reinforcement learning and deep learning models can facilitate the near-optimal redistribution of medical equipment in order to bolster public health responses to future crises similar to the COVID-19 pandemic.

Authors

  • Bryan P Bednarski
    Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, California, USA.
  • Akash Deep Singh
    Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, California, USA.
  • William M Jones
    School of Medicine, University of California, Irvine, Irvine, California, USA.

Keywords

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