Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury

Background: We aimed to develop and validate an automated machine learning (autoML) prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods: Using 69 preoperative variables, we developed several models to predict post-operative AKI in adult patients undergoing cardiac...

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Detalles Bibliográficos
Autores principales: Thongprayoon, Charat, Pattharanitima, Pattharawin, Kattah, Andrea G., Mao, Michael A., Keddis, Mira T., Dillon, John J., Kaewput, Wisit, Tangpanithandee, Supawit, Krisanapan, Pajaree, Qureshi, Fawad, Cheungpasitporn, Wisit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656700/
https://www.ncbi.nlm.nih.gov/pubmed/36362493
http://dx.doi.org/10.3390/jcm11216264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656700/
https://www.ncbi.nlm.nih.gov/pubmed/36362493
http://dx.doi.org/10.3390/jcm11216264

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