Machine Learning for Investigation on Endocrine-Disrupting Chemicals with Gestational Age and Delivery Time in a Longitudinal Cohort

Endocrine-disrupting chemicals (EDCs) are widespread environmental chemicals that are often considered as risk factors with weak activity on the hormone-dependent process of pregnancy. However, the adverse effects of EDCs in the body of pregnant women were underestimated. The interaction between dyn...

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Detalles Bibliográficos
Autores principales: Luan, Hemi, Zhao, Hongzhi, Li, Jiufeng, Zhou, Yanqiu, Fang, Jing, Liu, Hongxiu, Li, Yuanyuan, Xia, Wei, Xu, Shunqing, Cai, Zongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548981/
https://www.ncbi.nlm.nih.gov/pubmed/34755115
http://dx.doi.org/10.34133/2021/9873135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548981/
https://www.ncbi.nlm.nih.gov/pubmed/34755115
http://dx.doi.org/10.34133/2021/9873135

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