Suhong Wang
Biographic Data
| ID | 7969155 |
|---|---|
| NAME | Suhong Wang |
| GIVEN NAMES | Suhong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG S |
| AFFILIATIONS | Soochow University |
| ORCID | 0000-0001-9526-9843 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A study on the effects of combined DBT and STEPPS interventions for adolescents with non-suicidal self-injury
Objective To evaluate whether an integrated Dialectical Behavior Therapy and Systems Training for Emotional Predictability and Problem Solving (DBT + STEPPS) programme is more effective than DBT alone or conventional treatment in reducing non-suicidal self-injury (NSSI) and improving emotion regulation, anxiety, and depressive symptoms among adolescents with depression and NSSI. Methods This study recruited 192 adolescent patients with non-suicid…
Research on the influencing factors of the development of metabolic syndrome in patients with schizophrenia and the intervention effect of dance movement therapy
Age, smoking habit, BMI and IL-6 levels, medication time, elevated CRP levels, and exercise habit were the influencing factors for the development of MS in schizophrenia. DMT could effectively improve metabolic parameters and psychiatric symptoms in these patients. However, the study has limitations such as a short intervention period and a single-center design. Future research should verify this results through multi-center studies and longer fo…
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Depression is one of the most common mental illnesses, affecting people’s quality of life and posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is becoming increasingly critical. However, existing ADD methods usually treat depression detection as a regression problem for predicting patient health questionnaire-8 (PHQ-8) scores, ignoring the scores’ ambiguity caused by multiple questionnaire issues. To effe…
MMPF
Depression is a common mental disorder that requires objective and valid assessment tools. However, purely data-driven methods cannot satisfy the clinical diagnostic criteria for automatic depression detection (ADD), and the instability and heterogeneity of multimodal data have not been fully resolved. Therefore, we propose a novel auxiliary tool for ADD based on multimodal purification fusion (MMPF). Initially, a prior constraint gating (PCG) st…
Association of non-HDL-C and depression
Non-HDL-C positively correlated with depression, and further research may be better for clinical service
No prominent works on this page.
Association of non-HDL-C and depression
Non-HDL-C positively correlated with depression, and further research may be better for clinical service
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Depression is one of the most common mental illnesses, affecting people’s quality of life and posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is becoming increasingly critical. However, existing ADD methods usually treat depression detection as a regression problem for predicting patient health questionnaire-8 (PHQ-8) scores, ignoring the scores’ ambiguity caused by multiple questionnaire issues. To effe…
MMPF
Depression is a common mental disorder that requires objective and valid assessment tools. However, purely data-driven methods cannot satisfy the clinical diagnostic criteria for automatic depression detection (ADD), and the instability and heterogeneity of multimodal data have not been fully resolved. Therefore, we propose a novel auxiliary tool for ADD based on multimodal purification fusion (MMPF). Initially, a prior constraint gating (PCG) st…
Research on the influencing factors of the development of metabolic syndrome in patients with schizophrenia and the intervention effect of dance movement therapy
Age, smoking habit, BMI and IL-6 levels, medication time, elevated CRP levels, and exercise habit were the influencing factors for the development of MS in schizophrenia. DMT could effectively improve metabolic parameters and psychiatric symptoms in these patients. However, the study has limitations such as a short intervention period and a single-center design. Future research should verify this results through multi-center studies and longer fo…
A study on the effects of combined DBT and STEPPS interventions for adolescents with non-suicidal self-injury
Objective To evaluate whether an integrated Dialectical Behavior Therapy and Systems Training for Emotional Predictability and Problem Solving (DBT + STEPPS) programme is more effective than DBT alone or conventional treatment in reducing non-suicidal self-injury (NSSI) and improving emotion regulation, anxiety, and depressive symptoms among adolescents with depression and NSSI. Methods This study recruited 192 adolescent patients with non-suicid…
Artificial Intelligence (2 works) · Computer Science (2 works) · Emotion and Mood Recognition (2 works) · Antipsychotic (1 works) · Anxiety (1 works) · Balance, Gait, and Falls Prevention (1 works) · Cardiac Health and Mental Health (1 works) · Cross-sectional study (1 works) · Dance (1 works) · Demography (1 works)