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Synthetic Electronic Health Record data generated at UCLH for the project : A...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project: Po...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : M...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : N...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Synthetic Electronic Health Record data generated at UCLH for the project : M...
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model... -
Example (synthetic) images
Model A Hugging Face Unconditional image generation Diffusion Model was used for training. [1] Unconditional image generation models are not conditioned on text or images during... -
Example (synthetic) electronic health record data
These data are modelled using the OMOP Common Data Model v5.3. Correlated Data Source NG tube vocabularies Generation Rules The patient’s age should be between 18 and 100 at the...
