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

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

Abstract 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...

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Bibliographic Details
Main Authors: Xianwen Shang, Yanping Li, Haiquan Xu, Qian Zhang, Ailing Liu, Songming Du, Hongwei Guo, Guansheng Ma
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Nutrition Journal
Subjects:
Cardiometabolic risk factors
Leading dietary determinants
Healthy diet score
Machine learning
Children
Online Access:http://link.springer.com/article/10.1186/s12937-020-00611-2

Internet

http://link.springer.com/article/10.1186/s12937-020-00611-2

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