Yanping Ruan1,#, Xiangyu Liu2,#, Haogang Zhu3,*, Yijie Lu3, Xiaowei Liu1, Jiancheng Han1, Lin Sun1, Ye Zhang1, Xiaoyan Gu1, Ying Zhao1, Lei Li2, Suzhen Ran4, Jingli Chen5, Qiong Yu6, Yan Xu7, Hongmei Xia8, Yihua He1,*
Congenital Heart Disease, Vol.16, No.6, pp. 529-549, 2021, DOI:10.32604/CHD.2021.015862
Abstract Background: Current studies have confirmed that fetal congenital heart diseases (CHDs) are caused by various factors. However, the quantitative risk of CHD is not clear given the combined effects of multiple factors. Objective: This cross-sectional study aimed to detect associated factors of fetal CHD using a Bayesian network in a large sample and quantitatively analyze relative risk ratios (RRs). Methods: Pregnant women who underwent fetal echocardiography (N = 16,086 including 3,312 with CHD fetuses) were analyzed. Twenty-six maternal and fetal factors were obtained. A Bayesian network is constructed based on all variables through structural learning and parameter learning methods to… More >
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