Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model

Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, as they are inexpensive, easily implemented and provide useful information regarding dietary intake. They are usually carefully drafted by experts from nutritional and/or medical fields and can be vali...

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Bibliographic Details
Main Authors: Nina Reščič, Tome Eftimov, Barbara Koroušić Seljak, Mitja Luštrek
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Nutrients
Subjects:
food frequency questionnaire
machine learning
supervised learning
feature selection
PROMETHEE
missing data
Online Access:https://www.mdpi.com/2072-6643/12/12/3789

Internet

https://www.mdpi.com/2072-6643/12/12/3789

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