Synthetic Data

Preferred Label : Synthetic Data;

Définition CISMeF : Data that have been created artificially (e.g., through statistical modeling, computer simulation) so that new values and/or data elements are generated. Generally, synthetic data are intended to represent the structure, properties and relationships seen in actual patient data, except that they do not contain any real or specific information about individuals. For example, in healthcare, synthetic data are artificial data that are intended to mimic the properties and relationships seen in real patient data. Synthetic data are examples that have been partially or fully generated using computational techniques rather than acquired from a human subject by a physical system.; Source: Adapted from: Chen, R. J., Lu, M.Y., Chen, T.Y., Williamson, D. F. K., & Mahmood, F. (2021). Synthetic data in machine learning for medicine and healthcare. Nature Biomedical Engineering, 5(6), 493–497. https://doi.org/10.1038/s41551-021-00751-8External Link Disclaimer Executive Order 14110. (October 30, 2023). Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. https://www.federalregister.gov/documents/2023/11/01/2023-24283/safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence Giuffré, M., & Shung, D.L. (2023). Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. Npj Digital Medicine, 6(1). https://doi.org/10.1038/s41746-023-00927-3External Link Disclaimer Myles, P., Ordish, J., & Tucker, A. (2023). The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts. Progress in Biomedical Engineering, 5(1),;

NCIt definition : Data that are artificially created rather than being generated by actual events.;

Alternative definition : CDISC: Data that are artificially created rather than being generated by actual events. NOTE: Data are often created with the help of algorithms and used for a wide range of activities, including as test data for new products and tools, for model validation, and in AI optimization. [After The Ultimate Guide to Synthetic Data in 2020, August 29, 2020]. See also artificial intelligence.;

NCI Metathesaurus CUI : CL1642285;

Origin ID

C176263;

UMLS CUI

C5447143;

Semantic type(s)
- Idea or Concept [UMLS semantic type]
concept_is_in_subset
- CDISC DDF Study Arm Data Origin Type Value Set Terminology [NCIt concept]
- CDISC DDF Terminology [NCIt concept]
- CDISC Glossary Terminology [NCIt concept]
- Clinical Data Interchange Standards Consortium Terminology [NCIt concept]

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