Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease

Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease

Background Women with congenital heart disease are considered at high risk for adverse events. Therefore, we aim to establish 2 prediction models for mothers and their offspring, which can predict the risk of adverse events occurred in pregnant women with congenital heart disease. Methods and Result...

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Bibliographic Details
Main Authors: Ran Chu, Wei Chen, Guangmin Song, Shu Yao, Lin Xie, Li Song, Yue Zhang, Lijun Chen, Xiangli Zhang, Yuyan Ma, Xia Luo, Yuan Liu, Ping Sun, Shuquan Zhang, Yan Fang, Taotao Dong, Qing Zhang, Jin Peng, Lu Zhang, Yuan Wei, Wenxia Zhang, Xuantao Su, Xu Qiao, Kun Song, Xingsheng Yang, Beihua Kong
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
congenital heart disease
machine learning
prediction model
pregnancy
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.120.016371

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.120.016371

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