title: Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE).
abstract: 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.
  
  
  
  In this study, we deployed a grid logistic regression framework based on Secure Multi-party Computation (SMAC-GLORE). Unlike our previous work in GLORE, SMAC-GLORE protects not only patient-level data, but also all the intermediary information exchanged during the model-learning phase.
  
  
  
  The experimental results demonstrate the feasibility of secure distributed logistic regression across multiple institutions without sharing patient-level data.
  
  
  
  In this study, we developed a circuit-based SMAC-GLORE framework. The proposed framework provides a practical solution for secure distributed logistic regression model learning.
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA.|Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13210, USA.
authors.forename: Haoyi
authors.initials: H
authors.lastname: Shi
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA.|School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, 74135, USA.
authors.forename: Chao
authors.initials: C
authors.lastname: Jiang
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA.
authors.forename: Wenrui
authors.initials: W
authors.lastname: Dai
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA.
authors.forename: Xiaoqian
authors.initials: X
authors.lastname: Jiang
authors.affiliation: Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13210, USA.
authors.forename: Yuzhe
authors.initials: Y
authors.lastname: Tang
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA.
authors.forename: Lucila
authors.initials: L
authors.lastname: Ohno-Machado
authors.affiliation: Department of Biomedical Informatics, University of California, San Diego, CA, 92093, USA. shw070@ucsd.edu.
authors.forename: Shuang
authors.initials: S
authors.lastname: Wang
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D006801:Humans; D016015:Logistic Models; D012044:Regression Analysis