Name
Title | ||
|---|---|---|
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data |
Abstract | ||
|---|---|---|
Depression is one of the most common mental illnesses, and the symptoms shown by patients are different, making it difficult to diagnose in the process of clinical practice and pathological research. Although researchers hope that artificial intelligence can contribute to the diagnosis and treatment of depression, the traditional centralized machine learning methods need to aggregate patient data,... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3113708 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Collaborative work,Depression,Data models,Medical diagnostic imaging,Privacy,Training,Hospitals | Journal | 18 |
Issue | ISSN | Citations |
7 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaohang Xu | 1 | 0 | 0.34 |
| Hao Peng | 2 | 167 | 27.72 |
| Md. Zakirul Alam Bhuiyan | 3 | 560 | 66.51 |
| Zhifeng Hao | 4 | 653 | 78.36 |
| Lianzhong Liu | 5 | 0 | 1.01 |
| Lichao Sun | 6 | 94 | 14.15 |
| Lifang He | 7 | 369 | 32.74 |