Machine Learning Prediction Model for Acute Renal Failure After Acute Aortic Syndrome Surgery

BACKGROUND: Acute renal failure (ARF) is the most common major complication following cardiac surgery for acute aortic syndrome (AAS) and worsens the postoperative prognosis. Our aim was to establish a machine learning prediction model for ARF occurrence in AAS patients. METHODS: We included AAS pat...

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Detalles Bibliográficos
Autores principales: Li, Jinzhang, Gong, Ming, Joshi, Yashutosh, Sun, Lizhong, Huang, Lianjun, Fan, Ruixin, Gu, Tianxiang, Zhang, Zonggang, Zou, Chengwei, Zhang, Guowei, Qian, Ximing, Qiao, Chenhui, Chen, Yu, Jiang, Wenjian, Zhang, Hongjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801502/
https://www.ncbi.nlm.nih.gov/pubmed/35111767
http://dx.doi.org/10.3389/fmed.2021.728521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801502/
https://www.ncbi.nlm.nih.gov/pubmed/35111767
http://dx.doi.org/10.3389/fmed.2021.728521

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