Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis

BACKGROUND: There is an urgent need for the development of global analytic frameworks that can perform analyses in a privacy-preserving federated environment across multiple institutions without privacy leakage. A few studies on the topic of federated medical analysis have been conducted recently wi...

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Detalles Bibliográficos
Autores principales: Lee, Junghye, Sun, Jimeng, Wang, Fei, Wang, Shuang, Jun, Chi-Hyuck, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5924379/
https://www.ncbi.nlm.nih.gov/pubmed/29653917
http://dx.doi.org/10.2196/medinform.7744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5924379/
https://www.ncbi.nlm.nih.gov/pubmed/29653917
http://dx.doi.org/10.2196/medinform.7744

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