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Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

Synthetic electronic health records (EHRs) that are both realistic and privacy-preserving offer alternatives to real EHRs for machine learning (ML) and statistical analysis. However, generating high-fidelity EHR data in its original, high-dimensional form poses challenges for existing methods. We pr...

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Detalles Bibliográficos
Autores principales: Theodorou, Brandon, Xiao, Cao, Sun, Jimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471716/
https://www.ncbi.nlm.nih.gov/pubmed/37652934
http://dx.doi.org/10.1038/s41467-023-41093-0