Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis.

Background: Identifying leading dietary determinants for cardiometabolic risk (CMR) factors is urgent for prioritizing interventions in children. We aimed to identify leading dietary determinants for the change in CMR and create a healthy diet score (HDS) to predict CMR in children.Methods: We inclu...

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Bibliographic Details

Published in:	Nutrition Journal Vol. 19; no. 1
Main Authors:	Shang, Xianwen, Li, Yanping, Xu, Haiquan, Zhang, Qian, Liu, Ailing, Du, Songming, Guo, Hongwei, Ma, Guansheng
Format:	research Journal Article
Published:	BioMed Central 9/19/2020
Online Access:	View this record in EBSCOhost