Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28752, first published .
Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and Validation

Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and Validation

Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and Validation

Authors of this article:

Jie-Teng Wang1 Author Orcid Image ;   Wen-Yang Lin1 Author Orcid Image

Journals

  1. Zhu H, Yi T, Shang S, Shi M, Li Z, Shang W. A multiple sensitive attributes data publishing method with guaranteed information utility. CAAI Transactions on Intelligence Technology 2023;8(2):288 View
  2. Amiri F, Sánchez D, Domingo-Ferrer J. Enhancing efficiency and data utility in longitudinal data anonymization. Information Sciences 2025;704:121949 View
  3. Esmaili A, Rahmani A, Alijanpour A, Jayervand F, Akhondzardaini R, Sharifi M, Shams S, Rashvandi H, Yeganegi M, Shahbazi A, Aghili K, Neamatzadeh H. Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research. Indian Journal of Surgical Oncology 2025 View
  4. Yi T, Wang J, Shang W, Zhu H, Li X. A new privacy-preserving approach for publishing periodical reporting systems data. Knowledge and Information Systems 2025 View

Conference Proceedings

  1. Wu Y, Shen Z, Lin W. 2022 IEEE International Conference on Big Data (Big Data). Anonymizing Periodical Releases of SRS Data by Fusing Differential Privacy View