Cited by 278Privacy-Preserving Technologies in DataGenerative Adversarial Networks and Image SynthesisArtificial Intelligence in Healthcare and Education

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Synthetic data generation for tabular health records: A systematic review

Open access
Hernandez, Mikel, Epelde, Gorka, Alberdi, Ane, Cilla, Rodrigo, Rankin, Debbie·2022·Neurocomputing

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Crossref · 10.1016/j.neucom.2022.04.053

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Research works printed but not linked: 6

  1. I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative Adversarial Nets, in: Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, K.Q. Weinberger (Eds.), Advances in Neural Information Processing Systems, vol. 27, Curran Associates Inc, 2672–2680, 2014.
  2. El Emam, 2019, The Synthetic Data Paradigm for Using and Sharing Data, Data Anal. Digital Technol., 19, 12
  3. M.S. Donaldson, K.N. Lohr, I. o. M.U. Committee on Regional Health Data, Health Data in the Information Age: Use, Disclosure, and Privacy, chap. Confidentiality and Privacy of Personal Data, National Academies Press (US), 142–144, ISBN 0-309-53821-1, 1994.
  4. E. Choi, S. Biswal, B. Malin, J. Duke, W.F. Stewart, J. Sun, Generating Multi-label Discrete Patient Records using Generative Adversarial Networks, Proceedings of Machine Learning for Healthcare (MLHC).
  5. J. Vaidya, B. Shafiq, M. Asani, N. Adam, X. Jiang, L. Ohno-Machado, A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis, AMIA Annual Symposium Proceedings 2017 (2018) 1695–1704, ISSN 1942–597X.
  6. A.J. Yale, Privacy Preserving Synthetic Health Data Generation and Evaluation, Ph.D. thesis, Rensselaer Polytechnic Institute, ISBN: 9798662575981 Publication Title: ProQuest Dissertations and Theses 27833340, 2020.

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Metadata

Authors
Hernandez, M., Epelde, G., Alberdi, A., Cilla, R., & Rankin, D.
Affiliations
  • Vicomtech (ES)
  • Mondragon Unibertsitatea (ES)
  • University of Ulster (GB)
Corresponding author
  • Hernandez, Mikel
  • Epelde, Gorka
Venue
Neurocomputing
Publisher
Elsevier BV
Published
2022-07
Volume
493
Pages
28-45
ISSN
0925-2312 (ISSN-L)
OpenAlex
W4224022798
Cited by
278
References
60
Citations by year
2026: 56 · 2025: 90 · 2024: 88 · 2023: 36 · 2022: 8
FWCI
3.87
Type
journal article
Language
en
Open access
Locations
  • Neurocomputing (publishedVersion)
  • Ulster University Research Portal (Ulster University) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
synthetic data generation, tabular data generation, healthcare data privacy, generative adversarial networks, synthetic tabular data generation, patient privacy

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