Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-12
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Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and RecommendationsDevelopment and validation of classifiers and variable subsets for predicting nursing home admissionFirst evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata.Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey.Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records.A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey
P2860
Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-12
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2016 nî lūn-bûn
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2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
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name
Identifying small groups of fo ...... and Nutrition Survey, 2008-12
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Identifying small groups of fo ...... and Nutrition Survey, 2008-12
@en
type
label
Identifying small groups of fo ...... and Nutrition Survey, 2008-12
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Identifying small groups of fo ...... and Nutrition Survey, 2008-12
@en
prefLabel
Identifying small groups of fo ...... and Nutrition Survey, 2008-12
@ast
Identifying small groups of fo ...... and Nutrition Survey, 2008-12
@en
P2860
P1476
Identifying small groups of fo ...... and Nutrition Survey, 2008-12
@en
P2093
Jean Adams
Philippe J Giabbanelli
P2860
P304
P356
10.1017/S1368980016000185
P407
P577
2016-02-16T00:00:00Z