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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...
Autores principales: | Sun, Ling, Zhu, Wenwu, Chen, Xin, Jiang, Jianguang, Ji, Yuan, Liu, Nan, Xu, Yajing, Zhuang, Yi, Sun, Zhiqin, Wang, Qingjie, Zhang, Fengxiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
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 |
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