Multicenter Privacy-Preserving Cox Analysis Based on Homomorphic Encryption

Multicenter Privacy-Preserving Cox Analysis Based on Homomorphic Encryption

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 informati...

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Bibliographic Details
Main Authors: Li, J. (Author), Lu, Y. (Author), Tian, Y. (Author), Zhou, T. (Author), Zhu, S. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
article
bioinformatics
Biomedical Research
clinical trial
computer security
Computer Security
Cox proportional hazards model
Cox proportional hazards models
Cryptography
Data Sharing
encryption
Financial fraud
Ho-momorphic encryptions
human
Humans
information dissemination
Information Dissemination
licence
major clinical study
medical research
Medical research
multicenter study
privacy
Privacy
Privacy by design
Privacy preserving
Privacy protection
Regression analysis
secure multiparty computation
security
Sensitive datas
Sensitive informations
survival analysis
threshold homomorphic encryption
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