Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children : A longitudinal analysis
Journal article
Shang, Xianwen, Li, Yanping, Xu, Haiquan, Zhang, Qian, Liu, Ailing, Du, Songming, Guo, Hongwei and Ma, Guansheng. (2020). Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children : A longitudinal analysis. Nutrition Journal. 19(1), p. 105. https://doi.org/10.1186/s12937-020-00611-2
Authors | Shang, Xianwen, Li, Yanping, Xu, Haiquan, Zhang, Qian, Liu, Ailing, Du, Songming, Guo, Hongwei and Ma, Guansheng |
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Abstract | Background Methods Results Conclusion |
Keywords | cardiometabolic risk factors; leading dietary determinants; healthy diet score; machine learning; children |
Year | 2020 |
Journal | Nutrition Journal |
Journal citation | 19 (1), p. 105 |
Publisher | Biomed Central Ltd |
ISSN | 1475-2891 |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s12937-020-00611-2 |
Scopus EID | 2-s2.0-85091265761 |
Open access | Published as ‘gold’ (paid) open access |
Research or scholarly | Research |
Page range | 1-16 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 19 Sep 2020 |
Publication process dates | |
Accepted | 24 Aug 2020 |
Deposited | 08 Jul 2021 |
https://acuresearchbank.acu.edu.au/item/8w549/leading-dietary-determinants-identified-using-machine-learning-techniques-and-a-healthy-diet-score-for-changes-in-cardiometabolic-risk-factors-in-children-a-longitudinal-analysis
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