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Development and validation of machine learningbased in-hospital mortality predictive models for acute aortic syndrome in emergency departments

Yuanwei Fu Yilan Yang Hua Zhang Daidai Wang Qiangrong Zhai Lanfang Du Nijiati Muyesai YanxiaGao Qingbian Ma

World Journal of Emergency Medicine2026，Vol.17Issue(1)：P.43-49,7.

World Journal of Emergency Medicine2026，Vol.17Issue(1)：P.43-49,7.DOI:10.5847/wjem.j.1920-8642.2026.022

Development and validation of machine learningbased in-hospital mortality predictive models for acute aortic syndrome in emergency departments

Yuanwei Fu ¹Yilan Yang ¹Hua Zhang ²Daidai Wang ¹Qiangrong Zhai ¹Lanfang Du ¹Nijiati Muyesai ³YanxiaGao ⁴Qingbian Ma¹

作者信息

1. Department of Emergency Medicine,Peking University Third Hospital,Beijing 100191,China Key Laboratory of Molecular Cardiovascular Sciences,Ministry of Education,Beijing 100191,China
2. Research Center of Clinical Epidemiology,Peking University Third Hospital,Beijing 100191,China
3. Department of Emergency Medicine,People''s Hospital of Xinjiang Uygur Autonomous Region,Urumqi 830001,China
4. Department of Emergency Medicine,the First Affi liated Hospital of Zhengzhou University,Zhengzhou 450052,China
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摘要

关键词

Emergency department/Acute aortic syndrome/Mortality/Predictive model/Machine learning/Algorithms

分类

医药卫生

引用本文复制引用

Yuanwei Fu,Yilan Yang,Hua Zhang,Daidai Wang,Qiangrong Zhai,Lanfang Du,Nijiati Muyesai,YanxiaGao,Qingbian Ma..Development and validation of machine learningbased in-hospital mortality predictive models for acute aortic syndrome in emergency departments[J].World Journal of Emergency Medicine,2026,17(1):P.43-49,7.

基金项目

supported by the special fund of the National Clinical Key Specialty Construction Program[(2022)301-2305]. （2022）

World Journal of Emergency Medicine

ISSN：1920-8642

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