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
1 Department of Biomedical Informatics, University of California San Diego, San Diego, CA, United States
2 School of Management Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
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