Name
Abstract | ||
|---|---|---|
Stroke has become a leading cause of death and long-term disability in the world with no effective treatment. Deep learning-based approaches have the potential to outperform existing stroke risk prediction models, but they rely on large well-labeled data. Due to the strict privacy protection policy in health-care systems, stroke data is usually distributed among different hospitals in small pieces... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JBHI.2021.3088750 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Hospitals,Stroke (medical condition),Data models,Optimization,Hypertension,Predictive models,Generative adversarial networks | Journal | 26 |
Issue | ISSN | Citations |
1 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Chen | 1 | 392 | 65.58 |
| Yingru Chen | 2 | 0 | 0.34 |
| Jian-qiang Li | 3 | 433 | 48.60 |
| Jia Wang | 4 | 2 | 2.06 |
| Zijie Lin | 5 | 0 | 0.34 |
| Asoke K Nandi | 6 | 0 | 0.34 |