Application of Machine Learning in the Prediction of the Acute Aortic Dissection Risk Complicated by Mesenteric Malperfusion Based on Initial Laboratory Results

Application of Machine Learning in the Prediction of the Acute Aortic Dissection Risk Complicated by Mesenteric Malperfusion Based on Initial Laboratory Results

Background: Mesenteric malperfusion (MMP) represents a severe complication of acute aortic dissection (AAD). Research on risk identification models for MMP is currently limited. Methods: Based on a retrospective...

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Bibliographic Details
Main Authors: Zhechuan Jin, Jiale Dong, Jian Yang, Chengxiang Li, Zequan Li, Zhaofei Ye, Yuyu Li, Ping Li, Yulin Li, Zhili Ji
Format: Article
Language:English
Published: IMR Press 2025-06-01
Series:Reviews in Cardiovascular Medicine
Subjects:
acute aortic dissection
mesenteric malperfusion
machine learning
prediction model
Online Access:https://www.imrpress.com/journal/RCM/26/6/10.31083/RCM37827
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