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

Taekgyu Lee Seunghwan Baek Jongseo Lee Eun Su Chung Kyongsik Yun Tae-Suk Kim Jihoon 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
newly diagnosed
ejection fraction
depressive symptoms
poor prognosis
prognostic factors
peritoneal dialysis
convolutional neural network
binding protein