[2024-08] Developing a personalized, real-time depression relapse prediction model using passive sensing data
[2024-08] Developing a personalized, real-time depression relapse prediction model using passive sensing data
Moon Soul Graduate School of Future Strategy
Seo, Hwoyeon
(Advisor: Yang, Jae-Suk)
1. INTRODUCTION
2. LITERATURE REVIEW
3. WHAT PERSONAL VALUES ENABLE IMMIGRANTS AND NONIMMIGRANTS TO MAINTAIN THEIR SUBJECTIVE HEALTH DURING DIFFICULT TIMES?
4. EXPLORATION OF TEMPORAL EFFECT OF MOBILE PHONE USE ON MENTAL HEALTH IN KOREAN ADOLESCENTS: NETWORK ANALYSIS BY GRAPHICAL VECTOR AUTOREGRESSION(GVAR)
5. DEVELOPING A PERSONALIZED, REAL-TIME DEPRESSION RELAPSE PREDICTION MODEL USING DYNAMIC GRAPH NEURAL NETWORKS
6. CONCLUSION
7. BIBLIOGRAPHY
AWARD