Published on in Vol 6, No 2 (2018): Apr-Jun

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

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

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

Junghye Lee   1, 2, 3 , PhD ;   Jimeng Sun   4 , PhD ;   Fei Wang   5 , PhD ;   Shuang Wang   2 , PhD ;   Chi-Hyuck Jun   3 , PhD ;   Xiaoqian Jiang   2 , PhD

1 School of Management Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

2 Department of Biomedical Informatics, University of California San Diego, San Diego, CA, United States

3 Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea

4 College of Computing, Georgia Institute of Technology, Atlanta, GA, United States

5 Division of Health Informatics, Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York City, NY, United States

Corresponding Author:

  • Junghye Lee, PhD
  • School of Management Engineering
  • Ulsan National Institute of Science and Technology
  • UNIST Industrial complex campus
  • 10, Techno Saneop-ro 55beon-gil, Nam-gu
  • Ulsan, 44776
  • Republic of Korea
  • Phone: 82 52-217-3129
  • Email: jul289@ucsd.edu