<p>Generating synthetic data from OMOP-CDM databases for health applications</p>

Alberto Labarga; Sergi Aguiló-Castillo; Salvador Capella-Gutierrez

doi:10.7490/f1000research.1119504.1

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Labarga A, Aguiló-Castillo S and Capella-Gutierrez S. Generating synthetic data from OMOP-CDM databases for health applications [version 1; not peer reviewed]. F1000Research 2023, 12(ELIXIR):695 (poster) (https://doi.org/10.7490/f1000research.1119504.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Generating synthetic data from OMOP-CDM databases for health applications

Alberto Labarga¹, Sergi Aguiló-Castillo, Salvador Capella-Gutierrez

Published 19 Jun 2023 (https://doi.org/10.7490/f1000research.1119504.1)

Author Affiliations

¹ Barcelona Supercomputing Center, Barcelona, Catalonia, Spain

Copyright © 2023 Labarga A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 19 Jun 2023

Generating synthetic data from OMOP-CDM databases for health applications
[version 1; not peer reviewed]

Alberto Labarga¹, Sergi Aguiló-Castillo, Salvador Capella-Gutierrez

Author Affiliations

¹ Barcelona Supercomputing Center, Barcelona, Catalonia, Spain

Presented at

ELIXIR All Hands 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Synthetic data, Machine Learning, OMOP CDM, Databases, Health Data, Health, Quality control

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