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...
| Publicado en: | Nutrition Journal Vol. 19; no. 1 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
9/19/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |