Using Machine Learning to Expedite the Screening of Environmental Factors Associated with the Risk of Spontaneous Preterm Birth: From Exposure Mixtures to Key Molecular Events-Reference-Cited by-同舟云学术

Using Machine Learning to Expedite the Screening of Environmental Factors Associated with the Risk of Spontaneous Preterm Birth: From Exposure Mixtures to Key Molecular Events

Published:2023-03-06 Issue:11 Volume:10 Page:1036-1044
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Feng Yanqiu¹²,Su Shu¹²,Lin Weinan¹²,Ren Mengyuan¹²,Gao Ning¹²,Pan Bo³^ORCID,Zhang Le¹²,Jin Lei¹²,Zhang Yali¹²,Li Zhiwen¹²^ORCID,Ye Rongwei¹²,Ren Aiguo¹²^ORCID,Wang Bin¹²^ORCID

Affiliation:

1. Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People’s Republic of China, Beijing 100191, P. R. China

2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, P. R. China

3. Department of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China

Funder

Natural Science Foundation of Beijing Municipality

Yunnan Provincial Science and Technology Department

National Natural Science Foundation of China

National Key Research & Development Program of Ministry of Science and Technology of China

Publisher

American Chemical Society (ACS)

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Water Science and Technology,Ecology,Environmental Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.3c00085

Reference48 articles.

1. Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the Sustainable Development Goals

2. Under five and infant mortality in Chile (1990-2016): Trends, disparities, and causes of death

3. Maternal inflammation, growth retardation, and preterm birth: Insights into adult cardiovascular disease

4. Epidemiology and causes of preterm birth

5. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications

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