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	Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models
	Ren, Z.; Zhu, J.; Gao, Y.; Yin, Q.; Hu, M.; Dai, L.; Deng, C.; Yi, L.; Deng, K.; Wang, Y.
刊名	Science of the Total Environment
	2018
卷号	Vol.630页码:1-10
关键词	Air pollution Birth defects Congenital heart defects Machine learning Particulate matter
ISSN号	0048-9697
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1821765
专题	四川大学
作者单位	1.National Office of Maternal and Child Health Surveillance of China, Department of Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China 2.National Center for Birth Defect Monitoring of China, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China 3.Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, China 4.University of Chinese Academy of Sciences, Beijing, China 5.a State Key Laboratory of Resources and Environmental Information System , Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Ren, Z.,Zhu, J.,Gao, Y.,et al. Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models[J]. Science of the Total Environment,2018,Vol.630:1-10.
APA	Ren, Z..,Zhu, J..,Gao, Y..,Yin, Q..,Hu, M..,...&Wang, J..(2018).Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models.Science of the Total Environment,Vol.630,1-10.
MLA	Ren, Z.,et al."Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models".Science of the Total Environment Vol.630(2018):1-10.

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