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Stress detection using deep neural networks.

Russell LiZhandong Liu
Published in: BMC medical informatics and decision making (2020)
We demonstrated the potential of deep neural networks for developing robust, continuous, and noninvasive methods for stress detection and emotion classification, with the end goal of improving the quality of life.
Keyphrases
  • neural network
  • loop mediated isothermal amplification
  • real time pcr
  • machine learning
  • autism spectrum disorder
  • stress induced
  • deep learning
  • depressive symptoms
  • risk assessment