Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models

BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, traditional statistical methods had limited ability to quantify their impacts on birth outcomes precisely. We aimed to use a novel approach that applied different machine learning models to not only predict bi...

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Detalles Bibliográficos
Autores principales: Sun, Yuantong, Zheng, Weiwei, Zhang, Ling, Zhao, Huijuan, Li, Xun, Zhang, Chao, Ma, Wuren, Tian, Dajun, Yu, Kun-Hsing, Xiao, Shuo, Jin, Liping, Hua, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586450/
https://www.ncbi.nlm.nih.gov/pubmed/34777251
http://dx.doi.org/10.3389/fendo.2021.755364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586450/
https://www.ncbi.nlm.nih.gov/pubmed/34777251
http://dx.doi.org/10.3389/fendo.2021.755364

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