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Biological visual systems are currently unrivaled by artificial systems in their ability to recognize faces and objects in highly variable and cluttered real-world environments. Biologically-inspired computer vision systems seek to capture key aspects of the computational architecture of the brain, and such approaches have proven successful across a range(More)
  • A. Wassenaar, M. van den Boogaard, T. van Achterberg, A. J. C. Slooter, M. A. Kuiper, M. E. Hoogendoorn +12 others
  • 2015
RATIONALE Delirium incidence in intensive care unit (ICU) patients is high and associated with poor outcome. Identification of high-risk patients may facilitate its prevention. PURPOSE To develop and validate a model based on data available at ICU admission to predict delirium development during a patient's complete ICU stay and to determine the(More)
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