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 1 , PhD ;   Chi-Hyuck Jun 3 , PhD ;   Xiaoqian Jiang 1 , PhD

1 Department of Biomedical Informatics , University of California San Diego , San Diego , CA , US

2 School of Management Engineering , Ulsan National Institute of Science and Technology , Ulsan , KR

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

4 College of Computing , Georgia Institute of Technology , Atlanta , GA , US

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

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
  • KR
  • Phone: 82 52-217-3129
  • Email: jul289@ucsd.edu