Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort

BACKGROUND: The early life risk factors of childhood obesity among preterm infants are unclear and little is known about the influence of the feeding practices. We aimed to identify early life risk factors for childhood overweight/obesity among preterm infants and to determine feeding practices that...

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Detalles Bibliográficos
Autores principales: Fu, Yuanqing, Gou, Wanglong, Hu, Wensheng, Mao, Yingying, Tian, Yunyi, Liang, Xinxiu, Guan, Yuhong, Huang, Tao, Li, Kelei, Guo, Xiaofei, Liu, Huijuan, Li, Duo, Zheng, Ju-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350615/
https://www.ncbi.nlm.nih.gov/pubmed/32646442
http://dx.doi.org/10.1186/s12916-020-01642-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350615/
https://www.ncbi.nlm.nih.gov/pubmed/32646442
http://dx.doi.org/10.1186/s12916-020-01642-6

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