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An Unsupervised Machine-Learning Approach to Characterize Ultra-Processed Food Consumers: Results from the NHANES 2015–2015 Survey Cycle
OBJECTIVES: The consumption of ultra-processed food (UPF) has been suggested to be associated with adverse health outcomes. Understanding factors that affect the consumption of UPF is relevant from the public health perspective in order to develop ad hoc public health strategies facing UPF consumpti...
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| 發表在: | Curr Dev Nutr |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7257877/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cdn/nzaa043_083 |
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