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Cohort protocol: risk assessment of maternal inflammation and early brain development in infants and young children based on multi-source data modeling.

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第一作者： Xianghui,Huang

第一单位： Fujian Key Laboratory of Neonatal Diseases, Xiamen, China.;Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, China.

作者： Xianghui,Huang ^[1] ; Cuimin,Su ^[2] ; Ying,Lin ^[1] ; Tianyi,Zhou ^[3] ; Ruming,Ye ^[1] ; Dan,Li ^[1] ; Miaoshuang,Liu ^[4] ; Guanhong,Wu ^[4] ; Wanting,Li ^[4] ; Namei,Xie ^[4] ; Xiaofang,Deng ^[4] ; Nanxi,Zhu ^[4] ; Shaohong,Lin ^[4] ; Qin,Li ^[3] ; Kai,Yan ^[5] ; Deyi,Zhuang ^[1]

作者单位： Fujian Key Laboratory of Neonatal Diseases, Xiamen, China.;Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, China. ^[1] Jinjiang Municipal Hospital, Jinjiang, China. ^[2] Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China. ^[3] Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, China. ^[4] Children's National Medical Center, Shanghai, China. ^[5]

关键词 deep learning early brain development maternal inflammation multimodal data prospective cohort