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Deep Neural Networks for Image-Based Dietary Assessment
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Deep learning for risk assessment: all about automatic feature extraction

Christopher V Cosgriff1, Leo Anthony Celi2

  • 1MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.

British Journal of Anaesthesia
|December 10, 2019
PubMed
Summary

No abstract available in PubMed .

Keywords:
artificial neural networkdeep learningmachine learningoutcomeperioperativepostoperative mortalityrisk

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