Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction

Objective: To develop predictive models for contrast induced acute kidney injury (CI-AKI) among acute myocardial infarction (AMI) patients treated invasively. Methods: Patients with AMI who underwent angiography therapy were enrolled and randomly divided into training cohort (75%) and validation coh...

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Detalles Bibliográficos
Autores principales: Sun, Ling, Zhu, Wenwu, Chen, Xin, Jiang, Jianguang, Ji, Yuan, Liu, Nan, Xu, Yajing, Zhuang, Yi, Sun, Zhiqin, Wang, Qingjie, Zhang, Fengxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691423/
https://www.ncbi.nlm.nih.gov/pubmed/33282893
http://dx.doi.org/10.3389/fmed.2020.592007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691423/
https://www.ncbi.nlm.nih.gov/pubmed/33282893
http://dx.doi.org/10.3389/fmed.2020.592007

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