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...

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Detalles Bibliográficos
Autores principales: Zeng, Zhixuan, Yao, Shuo, Zheng, Jianfei, Gong, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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