Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers

PURPOSE: To establish novel prediction models for predicting acute kidney injury (AKI) after cardiac surgery based on early postoperative biomarkers. PATIENTS AND METHODS: This study enrolled patients who underwent cardiac surgery in a Chinese tertiary cardiac center and consisted of a discovery coh...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Rui, Qin, Wei, Zhang, Hao, Guan, Lichun, Wang, Wuwei, Li, Jian, Chen, Wen, Huang, Fuhua, Zhang, Hang, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942777/
https://www.ncbi.nlm.nih.gov/pubmed/36824496
http://dx.doi.org/10.3389/fsurg.2023.1048431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942777/
https://www.ncbi.nlm.nih.gov/pubmed/36824496
http://dx.doi.org/10.3389/fsurg.2023.1048431

Ejemplares similares