Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation
BackgroundElectronic health records are a valuable source of patient information that must be properly deidentified before being shared with researchers. This process requires expertise and time. In addition, synthetic data have considerably reduced the restrictions on the us...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-04-01
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| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2024/1/e53241 |