Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases

BACKGROUND: Predictive models based on machine learning have been widely used in clinical practice. Patients with acute myocardial infarction (AMI) are prone to the risk of acute kidney injury (AKI), which results in a poor prognosis for the patient. The aim of this study was to develop a machine le...

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Detalles Bibliográficos
Autores principales: Cai, Dabei, Xiao, Tingting, Zou, Ailin, Mao, Lipeng, Chi, Boyu, Wang, Yu, Wang, Qingjie, Ji, Yuan, Sun, Ling
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/PMC9489917/
https://www.ncbi.nlm.nih.gov/pubmed/36158815
http://dx.doi.org/10.3389/fcvm.2022.964894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489917/
https://www.ncbi.nlm.nih.gov/pubmed/36158815
http://dx.doi.org/10.3389/fcvm.2022.964894

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