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Predicting Clinical Events Based on Raw Text: From Bag-of-Words to Attention-Based Transformers
Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful approaches exist to predict such clinical events based on categorical and nu...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899014/ https://www.ncbi.nlm.nih.gov/pubmed/35265939 http://dx.doi.org/10.3389/fdgth.2021.810260 |