Jiahao Yang
Biographic Data
| ID | 6928370 |
|---|---|
| NAME | Jiahao Yang |
| GIVEN NAMES | Jiahao |
| FAMILY NAME | Yang |
| SIGNATURE | YANG J |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0001-5878-4563 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A longitudinal network analysis of the dynamic interactions between academic stress, rumination and resilience in high school students
BACKGROUND: Academic stress is prevalent among Chinese high school students and linked to adverse mental health outcomes, yet its interplay with rumination and resilience at the component level remains poorly understood from a cognitive transactional stress perspective. AIMS: This study investigated the interrelationships among academic stress, rumination and resilience at the subdimension level, examining both concurrent network structures and t…
Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning
To address the limitations of traditional cardiovascular disease prediction models in capturing dynamic changes and personalized differences in patients, we propose a novel LGAP model based on time-series data analysis. This model integrates Long Short-Term Memory (LSTM) networks, Graph Neural Networks (GNN), and Multi-Head Attention mechanisms. By combining patients' time-series data (such as medical records, physical parameters, and activity da…
No prominent works on this page.
Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning
To address the limitations of traditional cardiovascular disease prediction models in capturing dynamic changes and personalized differences in patients, we propose a novel LGAP model based on time-series data analysis. This model integrates Long Short-Term Memory (LSTM) networks, Graph Neural Networks (GNN), and Multi-Head Attention mechanisms. By combining patients' time-series data (such as medical records, physical parameters, and activity da…
A longitudinal network analysis of the dynamic interactions between academic stress, rumination and resilience in high school students
BACKGROUND: Academic stress is prevalent among Chinese high school students and linked to adverse mental health outcomes, yet its interplay with rumination and resilience at the component level remains poorly understood from a cognitive transactional stress perspective. AIMS: This study investigated the interrelationships among academic stress, rumination and resilience at the subdimension level, examining both concurrent network structures and t…
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Association (psychology) (1 work) · Cardiovascular Health and Risk Factors (1 work) · Cognition (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · Data mining (1 work) · Deep learning (1 work)