Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method

Zhang Xin; Fang Min; Cao Yi; Li Ting-Ting; Liu Xian-Kong; Dang Jia-Yi; Zhao Xue-Sen; Ren Hong-Qin; Geng Jia-Ze; Wang Kai-Wen; Han Tie-Sheng; Zhao Yong-Bo; Ma Dong

doi:10.11855/j.issn.0577-7402.1728.2025.0805

您当前的位置：

首页 >

文章列表页 >

Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method

Medical Journal of Chinese People′s Liberation Army Vol. 50, Issue 10, Pages: 1226-1234(2025)

Special Issue on Application of Artificial Intelligence in Disease Diagnosis and Treatment Ⅱ | 更新时间：2025-11-05

- Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method
  增强出版
- “The latest research uses the XGBoost HAP model to predict the postoperative mortality risk of patients with acute aortic dissection, and builds an online prediction platform to improve the identification efficiency of high-risk patients.”
- 作者机构：
  
  1.华北理工大学公共卫生学院，河北唐山　063000
  2.神经与血管教育部重点实验室/河北省心血管稳态与衰老重点实验室/河北医科大学生物化学与分子生物学研究室/河北医科大学基础医学院，河北石家庄　050017
  3.河北医科大学第四医院心外科，河北石家庄　050011
- 作者简介：
  
  Zhao Yong-Bo, E-mail: zhaoyongboyueyue@163.com
  Ma Dong, E-mail: madong119@hebmu.edu.cn
- 基金信息：
  
  the National Natural Science Foundation of China(82270508);the Hebei Provincial Natural Science Foundation General Project(H2022206279);the Youth Fund Project of the Director's Fund of the Key Laboratory of Neurobiology and Vascular Biology of the Ministry of Education(NV20210006);the Science and Technology Research Project of Higher Education Institutions in Hebei Province(QN2022164);the Key Project of Medical Science Research of Hebei Province in 2022(20221293);the Hebei Provincial Health Commission Government-Funded Project for Cultivating Outstanding Talents in Clinical Medicine(ZF2025226)
- DOI：10.11855/j.issn.0577-7402.1728.2025.0805
  CLC： R543.1
- Received：31 October 2024，
  
  Accepted：29 April 2025，
  
  Published Online：05 August 2025，
  
  Published：28 October 2025
- 稿件说明：
移动端阅览
张新, 方敏, 曹轶, 等. 基于XGBoost-SHAP方法的急性主动脉夹层患者术后死亡风险模型的构建[J]. 解放军医学杂志, 2025, 50(10): 1226-1234.

Zhang Xin,Fang Min,Cao Yi,et al.Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method[J].Medical Journal of Chinese People′s Liberation Army,2025,50(10):1226-1234.
张新, 方敏, 曹轶, 等. 基于XGBoost-SHAP方法的急性主动脉夹层患者术后死亡风险模型的构建[J]. 解放军医学杂志, 2025, 50(10): 1226-1234. DOI： 10.11855/j.issn.0577-7402.1728.2025.0805.

Zhang Xin,Fang Min,Cao Yi,et al.Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method[J].Medical Journal of Chinese People′s Liberation Army,2025,50(10):1226-1234. DOI： 10.11855/j.issn.0577-7402.1728.2025.0805.

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Publicity Resources

Construction of prediction model of preeclampsia based on machine learning algorithm

Association between neutrophil-to-lymphocyte ratio and in-hospital mortality risk in patients with acute aortic dissection: a multicenter 10-year retrospective cohort study

Construction and validation of a risk prediction model for 28-day mortality in patients with sepsis-associated acute kidney injury

Predictive modeling and risk factors analysis for venous thromboembolism post-laparoscopic urological surgery

Related Author

Liu Xian-Kong

Dang Jia-Yi

Zhao Xue-Sen

Ren Hong-Qin

Geng Jia-Ze

Wang Kai-Wen

Zhao Yong-Bo

Ma Dong

Related Institution

Key Laboratory of Nerves and Blood Vessels of the Ministry of Education, Key Laboratory of Cardiovascular Homeostasis and Aging of Hebei Province, Institute of Basic Biochemistry, Hebei Medical University, School of Basic Medicine, Hebei Medical University

Department of Cardiac Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 05001l

Medical Data Science Academy, Chongqing Medical University

College of Medical Informatics, Chongqing Medical University

Department of Emergency Medicine, the Second Affiliated Hospital of Chongqing Medical University

⁰

Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method

DOI：10.11855/j.issn.0577-7402.1728.2025.0805