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Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
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 Research Da...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365981/ https://www.ncbi.nlm.nih.gov/pubmed/34399809 http://dx.doi.org/10.1186/s13040-021-00276-5 |