Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

The recent availability of electronic health records (EHRs) have provided enormous opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has become a major concern that limits data sharing across hospital settings and subsequently hinders the advances in AI. Synt...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jin, Cairns, Benjamin J., Li, Jingsong, Zhu, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224668/
https://www.ncbi.nlm.nih.gov/pubmed/37244963
http://dx.doi.org/10.1038/s41746-023-00834-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224668/
https://www.ncbi.nlm.nih.gov/pubmed/37244963
http://dx.doi.org/10.1038/s41746-023-00834-7

Ejemplares similares