Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm
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Background: Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, because FFQs are self-reported data, they are susceptible to response bias, soc... ...
