InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records
Abstract Electronic health records contain multimodal data that can inform clinical decisions but are often unsuited for advanced machine learning analyses due to lack of labeled data. Here, we present InfEHR, a framework to automatically compute clinical likelihoods from whole electronic health rec...
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| Principais autores: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-09-01
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| Colecção: | Nature Communications |
| Acesso em linha: | https://doi.org/10.1038/s41467-025-63366-6 |
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