Explainable machine learning and online calculators to predict heart failure mortality in intensive care units
Abstract Aims This study aims to develop explainable machine learning models and clinical tools for predicting mortality in patients in the intensive care unit (ICU) with heart failure (HF). Methods Patients diagnosed with HF who experienced their first ICU stay lasting between 24 h and 28 days were...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2025-02-01
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| coleção: | ESC Heart Failure |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1002/ehf2.15062 |
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