Probability-Based Multi-Label Classification Considering Correlation Between Labels— Focusing on DSM-5 Depressive Disorder Diagnostic Criteria-Reference-Cited by-同舟云学术

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Probability-Based Multi-Label Classification Considering Correlation Between Labels— Focusing on DSM-5 Depressive Disorder Diagnostic Criteria

Published:2024 Issue: Volume:12 Page:70289-70296
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Park Dabin¹^ORCID,Lee Geonju²,Kim Seonhyeong²,Seo Taewoong¹,Oh Hayoung³^ORCID,Ju Kim Seog⁴

Affiliation:

1. Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea

2. Department of Mathematics, Sungkyunkwan University, Seoul, South Korea

3. Department of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul, South Korea

4. Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea

Funder

Ministry of Education

Ministry of Science and ICT, South Korea

Ministry of Trade, Industry and Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10531721.pdf?arnumber=10531721

Reference13 articles.

1. The reliability and validity of PHQ-9 in patients with major depressive disorder in psychiatric hospital

2. Forecasting the onset and course of mental illness with Twitter data

3. Depression Intensity Estimation via Social Media: A Deep Learning Approach

4. Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution

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