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An ensemble method based on marginal-effect models (EMM) for estimating usual food intake from single-day dietary data and internal/external two-day dietary data.

Sang Ah ChiHeejin LeeJung Eun LeeHaeng-Shin LeeKyunga KimIn-Kwon Yeo
Published in: European journal of clinical nutrition (2022)
The proposed EMM showed substantial improvement over the NCI methods when data contain a relatively small number of people with positive consumption on two days; is robust when food intake probability is very low or high; and estimates an external variance ratio with relatively low bias.
Keyphrases
  • electronic health record
  • big data
  • machine learning