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

• Published in: JMIR medical informatics Vol. 6; no. 2; p. e20
• Main Authors: Lee, Junghye, Sun, Jimeng, Wang, Fei, Wang, Shuang, Jun, Chi-Hyuck, Jiang, Xiaoqian
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 13.04.2018
• Subjects: Algorithms; Cardiovascular disease; Dictionaries; Disease management; Electronic health records; Informatics; Original Paper; Patients; Privacy; privacy; similarity learning; homomorphic encryption; federated environment; hashing

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 with the focus...