Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy

BACKGROUND: Hepatic encephalopathy (HE) is associated with marked increases in morbidity and mortality for cirrhosis patients. This study aimed to develop and validate machine learning (ML) models to predict 28-day mortality for patients with HE. METHODS: A retrospective cohort study was conducted i...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Zhe, Wang, Jian, Han, Wei, Zhao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077693/
https://www.ncbi.nlm.nih.gov/pubmed/37024814
http://dx.doi.org/10.1186/s12876-023-02753-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077693/
https://www.ncbi.nlm.nih.gov/pubmed/37024814
http://dx.doi.org/10.1186/s12876-023-02753-z

Ejemplares similares