Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE).

Background: In biomedical research, data sharing and information exchange are very important for improving quality of care, accelerating discovery, and promoting the meaningful secondary use of clinical data. A big concern in biomedical data sharing is the protection of patient privacy because inappropriate information leakage can put patient privacy at risk.

Methods: In this study, we deployed a grid logistic regression framework based on Secure Multi-party Computation (SMAC-GLORE).