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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |