Yao-Qing Chen
Biographic Data
| ID | 7788224 |
|---|---|
| NAME | Yao-Qing Chen |
| GIVEN NAMES | Yao-Qing |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0002-4659-1550 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A novel graph neural network based approach for influenza-like illness nowcasting
The incorporation of dual topology processing and the subsequent fusion mechanism allows the model to explore in-depth spatiotemporal feature interactions. Demonstrating superior performance, our approach shows great potential in early detection of flu trends for facilitating public health decisions and resource optimization
Post-traumatic Stress Disorder Symptoms in Covid-19 Survivors 6 Months After Hospital Discharge
COVID-19 survivors who had acute respiratory symptoms might experience prolonged post-traumatic stress disorder (PTSD) due to further rehabilitation, somatic symptoms and related distress. The conservation of resource (COR) theory is a well-developed theory to understand how people develop PTSD symptoms in traumatic events. The current study aimed to examine the potential factors of PTSD symptoms and interrelationships among this factors among CO…
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Post-traumatic Stress Disorder Symptoms in Covid-19 Survivors 6 Months After Hospital Discharge
COVID-19 survivors who had acute respiratory symptoms might experience prolonged post-traumatic stress disorder (PTSD) due to further rehabilitation, somatic symptoms and related distress. The conservation of resource (COR) theory is a well-developed theory to understand how people develop PTSD symptoms in traumatic events. The current study aimed to examine the potential factors of PTSD symptoms and interrelationships among this factors among CO…
A novel graph neural network based approach for influenza-like illness nowcasting
The incorporation of dual topology processing and the subsequent fusion mechanism allows the model to explore in-depth spatiotemporal feature interactions. Demonstrating superior performance, our approach shows great potential in early detection of flu trends for facilitating public health decisions and resource optimization
Medicine (2 works) · Acute Stress Disorder (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works) · Computer Science (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 and Mental Health (1 works) · COVID-19 epidemiological studies (1 works)