A Clinical-Oriented Non-Severe Depression Diagnosis Method Based on Cognitive Behavior of Emotional Conflict-Reference-Cited by-同舟云学术

A Clinical-Oriented Non-Severe Depression Diagnosis Method Based on Cognitive Behavior of Emotional Conflict

Published:2023-02 Issue:1 Volume:10 Page:131-141
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Li Mi¹^ORCID,Zhang Jinyu²,Song Jie²,Li Zijian²,Lu Shengfu¹

Affiliation:

1. Faculty of Information Technology, The Beijing International Collaboration Base on Brain Informatics and Wisdom Services, the Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, and the Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing, China

2. Faculty of Information Technology, Beijing University of Technology, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

National Basic Research Programme of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10032687/09725263.pdf?arnumber=9725263

Reference50 articles.

1. Deep Transformation Learning for Depression Diagnosis from Facial Images

2. Measuring depression symptom severity from spoken language and 3D facial expressions;haque;arXiv 1811 08592,2018

3. Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction

4. Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

5. A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

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