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Updated: Mar 15, 2026

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使用机器学习来确定习惯性预制水摄入的决定因素

Emma J Stinson1, Ethan Collins2, Tomas Cabeza De Baca3

  • 1Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona; College of Health Solutions, Arizona State University, Phoenix, Arizona.

The Journal of nutrition
|March 13, 2026
PubMed
概括

机器学习模型确定了影响成人预制水摄入量的关键因素. 这些模型揭示了水消耗与饮食,生理和能源支出变量之间的关联,有助于评估水分状态.

关键词:
通过饮食摄入的摄入量双标签的水是双标签的水.机器学习是机器学习.摄入水的摄入水

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