Prediction of all-cause mortality in coronary artery disease patients with atrial fibrillation based on machine learning models

BACKGROUND: Machine learning (ML) can include more diverse and more complex variables to construct models. This study aimed to develop models based on ML methods to predict the all-cause mortality in coronary artery disease (CAD) patients with atrial fibrillation (AF). METHODS: A total of 2037 CAD p...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xinyun, Jiang, Jicheng, Wei, Lili, Xing, Wenlu, Shang, Hailong, Liu, Guangan, Liu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520292/
https://www.ncbi.nlm.nih.gov/pubmed/34656086
http://dx.doi.org/10.1186/s12872-021-02314-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520292/
https://www.ncbi.nlm.nih.gov/pubmed/34656086
http://dx.doi.org/10.1186/s12872-021-02314-w

Ejemplares similares