Gradient boosting machine-based prediction model for adverse pregnancy outcomes among women who achieved pregnancy after valve repair for rheumatic heart disease: a multicenter cohort machine learning study

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-09-11
DOI
https://doi.org/10.1186/s12911-026-03735-3
Primary Topic
Cardiovascular Issues in Pregnancy
Type
article
Field-Weighted Citation Impact
0.00

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article

Gradient boosting machine-based prediction model for adverse pregnancy outcomes among women who achieved pregnancy after valve repair for rheumatic heart disease: a multicenter cohort machine learning study

Wei Lu, Jingwei Jiang, Guolin Dai, Baoshi Zheng et al.
BMC Medical Informatics and Decision Making
Cardiovascular Issues in Pregnancy
article

Gradient boosting machine-based prediction model for adverse pregnancy outcomes among women who achieved pregnancy after valve repair for rheumatic heart disease: a multicenter cohort machine learning study

Wei Lu, Jingwei Jiang, Guolin Dai, Baoshi Zheng, Zuyuan Huang, Cheng Luo, Bo Jia, Qinfeng Xu, Sishang Qin, Xiongwei Cai
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
Capital Medical University (CN), Xiamen University (CN), First Affiliated Hospital of Xiamen University (CN), First People's Hospital of Yunnan Province (CN), Beijing Anzhen Hospital (CN), Zhongshan Hospital of Xiamen University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
National Natural Science Foundation of China
Gender equality
Openalex Percentile: Top 11%
Cardiovascular Issues in Pregnancy
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