PO‐AKID‐teller: An interpretable machine learning tool for predicting acute kidney injury requiring dialysis after acute type A aortic dissection surgery

PO‐AKID‐teller: An interpretable machine learning tool for predicting acute kidney injury requiring dialysis after acute type A aortic dissection surgery

Abstract Postoperative acute kidney injury requiring dialysis (PO‐AKID) is a serious adverse event that not only affects acute morbidity and mortality, but also long‐term prognosis. Here, we developed a practical and explainable web‐based calculator (PO‐AKID‐teller) to detect patients who might expe...

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Bibliographic Details
Main Authors: Qiuying Chen, Biao Fu, Jue Yang, Zhe Jin, Lu Zhang, Ruixin Fan, Bin Zhang, Shuixing Zhang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:MedComm – Future Medicine
Subjects:
acute kidney injury
acute type A aortic dissection
dialysis
interpretability
machine learning
Online Access:https://doi.org/10.1002/mef2.77

Internet

https://doi.org/10.1002/mef2.77

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