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Preserving Institutional Privacy in Distributed Binary Logistic Regression

Privacy is becoming a major concern when sharing biomedical data across institutions. Although methods for protecting privacy of individual patients have been proposed, it is not clear how to protect the institutional privacy, which is many times a critical concern of data custodians. Built upon our...

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Bibliografische gegevens
Hoofdauteurs: Wu, Yuan, Jiang, Xiaoqian, Ohno-Machado, Lucila
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Medical Informatics Association 2012
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3540539/
https://ncbi.nlm.nih.gov/pubmed/23304425
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