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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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