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

AI for Synthetic Data (5) Artificial Intelligence (2347) Foundation Models and Their Applications in AI (57) Generative Language Models Including ChatGPT (812) AI Data (19)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65729, first published .
Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Authors of this article:

Marko Miletic1 Author Orcid Image ;   Murat Sariyar1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Baressi Šegota S, Poljak I, Anđelić N, Mrzljak V. On Predicting Marine Engine Measurements with Synthetic Data in Scarce Dataset. Journal of Marine Science and Engineering 2025;13(7):1289 View
  2. Fasseeh A, Ashmawy R, Hren R, ElFass K, Imre A, Németh B, Nagy D, Nagy B, Vokó Z. Generating Realistic Synthetic Patient Cohorts: Enforcing Statistical Distributions, Correlations, and Logical Constraints. Algorithms 2025;18(8):475 View
  3. Foung D, Kohnke L. Generating synthetic data for CALL research with GenAI: A proof-of-concept study. Research Methods in Applied Linguistics 2025;4(3):100248 View
  4. Miletic M, Bollinger A, Allemann S, Sariyar M. Synthetic data for pharmacogenetics: enabling scalable and secure research. JAMIA Open 2025;8(5) View
  5. Rao H, Liu W, Wang H, Huang I, He Z, Huang X. A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives. Journal of Healthcare Informatics Research 2026 View
  6. Li Z, Lü A, Ren W, Wang W, An B, Fan X, Yan Y, Bai Y, Zhao A, Duan R, Liu S. Predicting cardiometabolic multimorbidity in Chinese older adults via machine learning. Metabolism and Target Organ Damage 2026;6(1) View

Conference Proceedings

  1. Üstün T, Koçabaş İ, Sezen A, Şengül G, Türkmen G, Bakal M. 2026 5th International Informatics and Software Engineering Conference (IISEC). A Multimodal Synthetic Dataset for Multi-Camera Human Detection and Occlusion Analysis in Indoor Environments View