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Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18920, first published .
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Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model

Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model

Authors of this article:

Adrian Paul Brown1 Author Orcid Image ;   Sean M Randall1 Author Orcid Image

Journals

  1. Feretzakis G, Sakagianni A, Anastasiou A, Kapogianni I, Bazakidou E, Koufopoulos P, Koumpouros Y, Koufopoulou C, Kaldis V, Verykios V. Integrating Shapley Values into Machine Learning Techniques for Enhanced Predictions of Hospital Admissions. Applied Sciences 2024;14(13):5925 View
  2. Abughazalah M, Alsaggaf W, Saifuddin S, Sarhan S. Enhancing patient admission efficiency through a hybrid cloud framework for medical record sharing. Scientific Reports 2026;16(1) View
  3. Perez J, Gutierrez A, Lopez C. Probabilistic Record Linkage and Machine Learning Model for Detecting Duplicate Patient Records Using Demographic Similarity, Address Variation, Encounter History, Insurance Identifiers, and Clinical Pattern Matching. Journal of Health Informatics and Digital Systems 2025;5(1) View

Conference Proceedings

  1. Shelake V, Pare V. 2022 5th International Conference on Advances in Science and Technology (ICAST). A Review of Similarity Matching Over Encrypted Data View