Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
Abstract Background Early prediction of hospital mortality is crucial for ICU patients with sepsis. This study aimed to develop a novel blending machine learning (ML) model for hospital mortality prediction in ICU patients with sepsis. Methods Two ICU databases were employed: eICU Collaborative Rese...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2021-08-01
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| Col·lecció: | BioData Mining |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13040-021-00276-5 |
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