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Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients
BACKGROUND: Although the machine learning model developed on electronic health records has become a promising method for early predicting hospital mortality, few studies focus on the approaches for handling missing data in electronic health records and evaluate model robustness to data missingness....
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170607/ https://www.ncbi.nlm.nih.gov/pubmed/37179744 http://dx.doi.org/10.1177/20552076231171482 |