TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can help such models map the input space better and boost their performance on relevant tasks through f...

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Detalles Bibliográficos
Autores principales: Yang, Zhichao, Mitra, Avijit, Liu, Weisong, Berlowitz, Dan, Yu, Hong
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/PMC10687211/
https://www.ncbi.nlm.nih.gov/pubmed/38030638
http://dx.doi.org/10.1038/s41467-023-43715-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687211/
https://www.ncbi.nlm.nih.gov/pubmed/38030638
http://dx.doi.org/10.1038/s41467-023-43715-z

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