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Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption of DL-based models in scenarios with limited tr...
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| Publicado no: | NPJ Digit Med |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8137882/ https://ncbi.nlm.nih.gov/pubmed/34017034 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00455-y |
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