Yuting Nie
Dados Biográficos
| ID | 7962296 |
|---|---|
| NOME | Yuting Nie |
| PRENOMES | Yuting |
| SOBRENOME | Nie |
| ASSINATURA | NIE Y |
| AFILIAÇÕES | Capital Medical University |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Comparative study of an ai-based visual psychophysiological analysis platform and self-report scales for screening depression and anxiety
Background Depression and anxiety are among the most prevalent psychiatric disorders in clinical practice. Their high comorbidity and the inherent subjectivity of self-report screening tools have motivated efforts to identify objective, physiology-based digital phenotypes. Objectives To rigorously evaluate the diagnostic performance of an artificial intelligence visual analysis platform based on head–neck micro-vibration signals for screening dep…
Emerging trends in epigenetic and childhood trauma
As the best of our knowledge, this is the first bibliometric analysis of the association between childhood trauma and epigenetics. Our analysis of the literature suggests that childhood trauma may induce depression, anxiety, and post-traumatic stress disorder through epigenetic regulation of glucocorticoid receptor expression and brain development. The hypothalamic-pituitary-adrenal axis is the key points of epigenetic research. The current resea…
Sem obras proeminentes nesta página.
Emerging trends in epigenetic and childhood trauma
As the best of our knowledge, this is the first bibliometric analysis of the association between childhood trauma and epigenetics. Our analysis of the literature suggests that childhood trauma may induce depression, anxiety, and post-traumatic stress disorder through epigenetic regulation of glucocorticoid receptor expression and brain development. The hypothalamic-pituitary-adrenal axis is the key points of epigenetic research. The current resea…
Comparative study of an ai-based visual psychophysiological analysis platform and self-report scales for screening depression and anxiety
Background Depression and anxiety are among the most prevalent psychiatric disorders in clinical practice. Their high comorbidity and the inherent subjectivity of self-report screening tools have motivated efforts to identify objective, physiology-based digital phenotypes. Objectives To rigorously evaluate the diagnostic performance of an artificial intelligence visual analysis platform based on head–neck micro-vibration signals for screening dep…
Alexithymia (1 obras) · Anxiety (1 obras) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 obras) · Bibliometrics (1 obras) · Biology (1 obras) · Child Abuse and Trauma (1 obras) · Child and Adolescent Health (1 obras) · Clinical Psychology (1 obras) · Clinical Psychology (1 obras) · Comorbidity (1 obras)