To Synthetic Data, or Not To Synthetic Data?
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Synthetic data is on the rise! What are some of the considerations involved with using synthetic data in health research? Join us to explore!
Questions? Comments? Email us! frmrobot@ualberta.ca, or follow us on social media @uofarehabroboticslab
Reference papers: Chen, R.J., Lu, M.Y., Chen, T.Y. et al. Synthetic data in machine learning for medicine and healthcare. Nat Biomed Eng 5, 493–497 (2021). https://doi.org/10.1038/s41551-021-00751-8
Gonzales A, Guruswamy G, Smith SR (2023) Synthetic data in health care: A narrative review. PLOS Digit Health 2(1): e0000082. https://doi.org/10.1371/journal.pdig.0000082
Rankin D, Black M, Bond R, Wallace J, Mulvenna M, Epelde G Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing JMIR Med Inform 2020;8(7):e18910 doi: 10.2196/18910 PMID: 32501278 PMCID: 7400044
Marquez Chavez, J.; Tang, W. A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data. Sensors 2022, 22, 4463. https://doi.org/10.3390/s22124463
Warmenhoven J, Harrison AJ, Quintana DS, Hooker G, Gunning E, Bargary N. Unlocking sports medicine research data while maintaining participant privacy via synthetic datasets. (2020) SportRχiv. https://doi.org/XX.XXXX/osf.io/XXXXX