Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model

Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model

AbstractBackground Acute kidney injury (AKI) is a common and serious complication after the repair of Type A acute aortic dissection (TA-AAD). However, previous models have failed to account for the impact of blood pressure fluctuations on predictive performance. This study aims to develop machine l...

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Bibliographic Details
Main Authors: Anran Dai, Zhou Zhou, Fan Jiang, Yaoyi Guo, Dorothy O. Asante, Yue Feng, Kaizong Huang, Chen Chen, Hongwei Shi, Yanna Si, Jianjun Zou
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Annals of Medicine
Subjects:
Acute kidney injury
cardiac surgery
aortic dissection
intraoperative hypotension
machine learning
XGBoost
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2023.2266458

Internet

https://www.tandfonline.com/doi/10.1080/07853890.2023.2266458

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