Name
Abstract | ||
|---|---|---|
The Cox proportional hazards model is one of the most widely used methods for analyzing survival data. Data from multiple data providers are required to improve the generalizability and confidence of the results of Cox analysis; however, such data sharing may result in leakage of sensitive information, leading to financial fraud, social discrimination or unauthorized data abuse. Some privacy-prese... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2021.3071270 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Encryption,Data models,Bioinformatics,Protocols,Licenses,Predictive models,Distributed databases | Journal | 25 |
Issue | ISSN | Citations |
9 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao Lu | 1 | 42 | 23.11 |
| Yu Tian | 2 | 3 | 3.11 |
| Tian-Shu Zhou | 3 | 182 | 10.18 |
| Shiqiang Zhu | 4 | 0 | 1.69 |
| Jing-song Li | 5 | 2 | 1.06 |