Understanding synthetic data: artificial datasets for real-world evidence
Open Access
- 2 July 2025
- journal article
- Published by BMJ in BMJ Evidence-Based Medicine
- Vol. 31 (3) , 148-151
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- The urgent need to accelerate synthetic data privacy frameworks for medical researchThe Lancet Digital Health, 2024
- Mandatory data and code sharing for research published by The BMJBMJ, 2024
- Towards Robust Fingerprinting of Relational Databases by Mitigating Correlation AttacksIEEE Transactions on Dependable and Secure Computing, 2022
- Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)Journal of the American Medical Informatics Association, 2022
- Leveraging Artificial Intelligence and Synthetic Data Derivatives for Spine Surgery ResearchGlobal Spine Journal, 2022
- Membership inference attacks against synthetic health dataJournal of Biomedical Informatics, 2021
- Predicting mortality among patients with liver cirrhosis in electronic health records with machine learningPLOS ONE, 2021
- CONSORT extension for the reporting of randomised controlled trials conducted using cohorts and routinely collected data (CONSORT-ROUTINE): checklist with explanation and elaborationBMJ, 2021
- Spot the difference: comparing results of analyses from real patient data and synthetic derivativesJAMIA Open, 2020
- “I don’t want to be Henrietta Lacks”: diverse patient perspectives on donating biospecimens for precision medicine researchGenetics in Medicine, 2018