XGBoost–SHAP-based interpretable predictive website for postoperative in-hospital mortality in patients with acute aortic dissection

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-10-16
DOI
https://doi.org/10.1186/s12911-026-03889-0
Primary Topic
Aortic Disease and Treatment Approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

XGBoost–SHAP-based interpretable predictive website for postoperative in-hospital mortality in patients with acute aortic dissection

Yapei Zhao, Hong-qin Ren, Zhao Xue-sen, Zhao Yan-qin et al.
BMC Medical Informatics and Decision Making
Aortic Disease and Treatment Approaches
article

XGBoost–SHAP-based interpretable predictive website for postoperative in-hospital mortality in patients with acute aortic dissection

Yapei Zhao, Hong-qin Ren, Zhao Xue-sen, Zhao Yan-qin, Yingxin Xie, Yongbo Zhao, Kaiwen Wang, Yunyan Wu, Min Fang, Jia-ze Geng, Dong Ma, Xin Zhang, Xian-kong Liu, Yu-chuan Jin, Jia-yi Dang
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
Hebei Medical University (CN), North China University of Science and Technology (CN), Second Hospital of Hebei Medical University (CN), Fourth Hospital of Hebei Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 13%
Aortic Disease and Treatment Approaches
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