A Survey Based on Privacy-Preserving Over Health Care Data Analysis-Reference-Cited by-同舟云学术

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A Survey Based on Privacy-Preserving Over Health Care Data Analysis

Published:2023 Issue: Volume: Page:443-456
ISSN:2367-3370
Container-title:Emerging Trends in Expert Applications and Security
language:
Short-container-title:

Author:

Panimalar S. P.,Gunasundari S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1946-8_40

Reference59 articles.

1. Welten S, Mou Y, Neumann L, Jaberansary M, Yediel Ucer Y, Kirsten T, Decker S, Beyan O (2022) A privacy-preserving distributed analytics platform for health care data. Methods Inf Med 61(S 01):e1–e11. https://doi.org/10.1055/s-0041-1740564. Epub. PMID: 35038764; PMCID: PMC9246511

2. Wirth FN, Meurers T, Johns M, Prasser F (2021) Privacy-preserving data sharing infrastructures for medical research: systematization and comparison. BMC Med Inform Decis Mak 21(1):242. https://doi.org/10.1186/s12911-021-01602-x. PMID: 34384406; PMCID: PMC8359765

3. Zhang P, Kamel Boulos MN (2022) Privacy-by-design environments for large-scale health research and federated learning from data. Int J Environ Res Public Health 19(19):11876. https://doi.org/10.3390/ijerph191911876

4. Jiang R, Han S, Shi M, Gao T, Zhao X (2022) Healthcare Big Data privacy protection model based on risk-adaptive access control. Secur Commun Netw. Article ID 3086516, 12 pp. https://doi.org/10.1155/2022/3086516

5. Choudhury A, Sun C, Dekker A, Dumontier M, van Soest J (2022) Privacy-preserving federated data analysis: data sharing, protection, and bioethics in healthcare. In: El Naqa I, Murphy MJ (eds) Machine and deep learning in oncology, medical physics and radiology. Springer, Cham. https://doi.org/10.1007/978-3-030-83047-2_8

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1. Homomorphic Encryption for AI-Based Applications: Challenges and Opportunities;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18

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