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Multimodal Data Fusion for Mental Health by alekhyanimmaka77 is a document available to read on EtoBox.

The document presents a framework named CASTLE for detecting mental health issues among university students by fusing multi-modal data related to their social life, academic performance, and physical appearance. It utilizes a multi-view social network embedding algorithm (MOON) and addresses label imbalance using the SMOTE technique, followed by a deep neural network for detection. The proposed methods show promising results compared to existing baselines, highlighting the importance of proactive mental hea

Author
alekhyanimmaka77
Language
EN