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Deep learning application to automatic classification of pharmaceutical interventions: towards a better monitoring of pharmaceutical analysis

  • At: Seville (Spain) (2022)
  • Type: Poster
  • Poster code: HPS-005
  • By: ALKANJ, Ahmad (University Of Strasbourg, France)
  • Co-author(s): Mr Ahmad Alkanj, Phd Student (University Of Strasbourg, Strasbourg, France)
    Dr Bruno Michel, Laboratoire de Pharmacologie et de Toxicologie Neurocardiovasculaire, Centre de recherche en biomédecine de Strasbourg | CRBS
    Dr Julien Godet, 2ICube - IMAGeS, UMR 7357, Université de Strasbourg
    Dr Erin Johns, Laboratoire de Pharmacologie et de Toxicologie Neurocardiovasculaire, Centre de recherche en biomédecine de Strasbourg | CRBS
    Dr Benedicte Gourieux, Service de Pharmacie
  • Abstract:

    Introduction:
    Pharmaceutical analysis (PA) of medication prescription is a critical step in the prevention of adverse drug events [1, 2]. PA enables to identify drug-related problems (DRP) and trigger pharmaceutical interventions (PI) for optimal prescribing or administration practices.

    Purpose:
    Create a deep learning algorithm to classify the..

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Last update 4 October 2019

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