Category | Report | Subject | Computer Science |
---|---|---|---|
University | London Metropolitan University | Module Title | FC7P01: MSc Project |
Nutrition information is an indispensable part of assessing diet and researching health, requiring accurate and reliable nutritional data for proper analysis and research. Therefore, this research aimed to verify the consistency of nutritional information by applying the CV method and a 7-day food diary on various AI-based platforms, evaluating the influence of inconsistent macronutrient values across databases in dietary assessment and public health recommendations. It also underlines the need to standardize nutritional databases to enhance data reliability in nutritional epidemiology. The study shows that there are inconsistencies between platforms and their probable results on individuals' nutritional and health outcomes, emphasizing further increase in the accuracy and standardization of the databases to ensure accurate dietary recommendations and improved health interventions.
keywords: Nutritional Databases, Macronutrients, Dietary Assessment, Data Consistency, Data Reliability, Nutritional Epidemiology, Database Standardization
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