Preoperative prediction of major adverse outcomes after total arch replacement in acute type A aortic dissection based on machine learning ensemble

Preoperative prediction of major adverse outcomes after total arch replacement in acute type A aortic dissection based on machine learning ensemble

Abstract A machine learning model was developed and validated to predict postoperative complications in patients with acute type A aortic dissection (ATAAD) who underwent total arch replacement combined with frozen elephant trunk (TAR + FET), with the goal of improving postoperative survival quality...

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Bibliographic Details
Main Authors: Hanshen Luo, Xinyi Liu, Yuehang Yang, Bing Tang, Pan He, Li Ding, Zhiwen Wang, Jiawei Shi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Type A aortic dissection
Postoperative complications
Machine learning
Predictive model
Major adverse outcome
Online Access:https://doi.org/10.1038/s41598-025-06936-4
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https://doi.org/10.1038/s41598-025-06936-4

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