Title | ||
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Achieve Efficient and Privacy-Preserving Disease Risk Assessment Over Multi-Outsourced Vertical Datasets |
Abstract | ||
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It is believed that online disease risk assessment system has great potential to alleviate the medical treatment problems for the future smart city and communities, as it can excavate disease risk factors from a large number of patient features, provide diagnostic references for doctors, and save medical treatment time for patients. However, the flourish of online disease risk assessment service s... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TDSC.2020.3026631 | IEEE Transactions on Dependable and Secure Computing |
Keywords | DocType | Volume |
Diseases,Predictive models,Risk management,Data models,Security,Computational modeling,Training | Journal | 19 |
Issue | ISSN | Citations |
3 | 1545-5971 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fengwei Wang | 1 | 9 | 3.51 |
Hui Zhu | 2 | 81 | 9.97 |
Rongxing Lu | 3 | 5091 | 301.87 |
Yandong Zheng | 4 | 20 | 6.38 |
Hui Li | 5 | 814 | 92.33 |