Machine learning algorithms to predict major bleeding after isolated coronary artery bypass grafting

OBJECTIVES: Postoperative major bleeding is a common problem in patients undergoing cardiac surgery and is associated with poor outcomes. We evaluated the performance of machine learning (ML) methods to predict postoperative major bleeding. METHODS: A total of 1,045 patients who underwent isolated c...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Yuchen, Liu, Xiaojie, Wang, Lijuan, Wang, Sudena, Yu, Yang, Ding, Yao, Wang, Jingcan, Ao, Hushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366116/
https://www.ncbi.nlm.nih.gov/pubmed/35966564
http://dx.doi.org/10.3389/fcvm.2022.881881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366116/
https://www.ncbi.nlm.nih.gov/pubmed/35966564
http://dx.doi.org/10.3389/fcvm.2022.881881

Ejemplares similares