Cargando…
Machine learning for the prediction of acute kidney injury in patients after cardiac surgery
Cardiac surgery-associated acute kidney injury (CSA-AKI) is the most prevalent major complication of cardiac surgery and exerts a negative effect on a patient's prognosis, thereby leading to mortality. Although several risk assessment models have been developed for patients undergoing cardiac s...
Autores principales: | Xue, Xin, Liu, Zhiyong, Xue, Tao, Chen, Wen, Chen, Xin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490319/ https://www.ncbi.nlm.nih.gov/pubmed/36157418 http://dx.doi.org/10.3389/fsurg.2022.946610 |
Ejemplares similares
-
Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers
por: Fan, Rui, et al.
Publicado: (2023) -
Machine learning approach to predict acute kidney injury after liver surgery
por: Dong, Jun-Feng, et al.
Publicado: (2021) -
Prediction of acute kidney injury in patients with femoral neck fracture utilizing machine learning
por: Liu, Jun, et al.
Publicado: (2022) -
Association between acute kidney injury and prognoses of cardiac surgery patients: Analysis of the MIMIC-III database
por: Sun, Chun, et al.
Publicado: (2023) -
A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery
por: Xue, Xin, et al.
Publicado: (2022)