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A Deep Learning Driven Simulation Analysis of the Emotional Profiles of Depression Based on Facial Expression Dynamics.

Taekgyu LeeSeunghwan BaekJongseo LeeEun Su ChungKyongsik YunTae-Suk KimJihoon Oh
Published in: Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology (2023)
: This study suggests a novel and practical approach to understand the emotional expression of depression patients based on deep learning techniques. Further research would allow us to obtain more perspectives on the emotional profiles of clinical patients, potentially providing helpful insights in making diagnosis of depression patients.
Keyphrases
  • end stage renal disease
  • deep learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • depressive symptoms
  • poor prognosis
  • prognostic factors
  • machine learning
  • patient reported outcomes
  • physical activity