This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18735, first published .
Balancing Accuracy and Privacy in Federated Queries of Clinical Data Repositories: Algorithm Development and Validation

Balancing Accuracy and Privacy in Federated Queries of Clinical Data Repositories: Algorithm Development and Validation

Balancing Accuracy and Privacy in Federated Queries of Clinical Data Repositories: Algorithm Development and Validation

Authors of this article:

Yun William Yu1 Author Orcid Image ;   Griffin M Weber2 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Maheshwari A, Mantry H. Quantum Cryptography for Securing Personal Health Information in Hospitals. Newborn 2022;1(4):333 View
  2. Gupta N, Gupta B. An Efficient Source Selection Approach for Retrieving Electronic Health Records From Federated Clinical Repositories. International Journal of Information Technologies and Systems Approach 2022;15(2):1 View
  3. Ghazi B, Kreuter B, Kumar R, Manurangsi P, Peng J, Skvortsov E, Wang Y, Wright C. Multiparty Reach and Frequency Histogram: Private, Secure, and Practical. Proceedings on Privacy Enhancing Technologies 2022;2022(1):373 View
  4. Petrella R. The AI Future of Emergency Medicine. Annals of Emergency Medicine 2024 View

Books/Policy Documents

  1. Leighton A, Yu Y. Research in Computational Molecular Biology. View