1/28/2024 0 Comments Cronometer nutrition label![]() Insufficient intake of micronutrients has also been linked to disability-adjusted life years, a measure of time lost due to premature mortality and nonfatal health loss, and to various age-related disorders such as cardiovascular diseases and Alzheimer disease. Pregnant and nursing mothers and young children are particularly vulnerable to micronutrient deficiencies. J Med Internet Res 2023 25:e45332 doi:10.2196/45332 KeywordsĪccording to the World Health Organization (WHO), more than 2 billion people globally experience deficiencies in micronutrients such as vitamins and minerals. The implications of this research for public health are noteworthy, underscoring the potential of technology to augment consumers’ understanding of the micronutrient content of their diets while also facilitating the tracking of food intake and providing personalized recommendations based on the micronutrient content and individual preferences. Integrating these predictive models into mobile apps can enhance their accessibility and engagement with consumers. The results show that the approach has the potential to significantly improve consumer knowledge about the micronutrient content of the foods they consume. The highest classification accuracies for specific micronutrients are achieved for vitamin B12 (0.94) and phosphorus (0.94), while the lowest are for vitamin E (0.81) and selenium (0.83).Ĭonclusions: This study demonstrates the feasibility of predicting unreported micronutrients from existing food labels using machine learning algorithms. Results: According to the results, while predicting the exact quantity of vitamins and minerals is shown to be challenging, with regression R 2 varying in a wide range from 0.28 (for magnesium) to 0.92 (for manganese), the classification models can accurately predict the category (“low,” “medium,” or “high”) level of all minerals and vitamins with accuracies exceeding 0.80. For each model, hyperparameters were adjusted, and the models were evaluated using repeated cross-validation to ensure that the reported results were not subject to overfitting. Methods: Data from the Food and Nutrient Database for Dietary Studies (FNDDS) data set, representing a total of 5624 foods, were used to train a diverse set of machine learning classification and regression algorithms to predict unreported vitamins and minerals from existing food label data. If unreported micronutrients can be predicted with acceptable accuracies from existing food labels using machine learning predictive models, such models can be integrated into mobile apps to provide consumers with additional micronutrient information about foods and help them make more informed diet decisions. Objective: This paper aims to examine the possibility of using machine learning algorithms to predict unreported micronutrients such as vitamin A (retinol), vitamin C, vitamin B1 (thiamin), vitamin B2 (riboflavin), vitamin B3 (niacin), vitamin B6, vitamin B12, vitamin E (alpha-tocopherol), vitamin K, and minerals such as magnesium, zinc, phosphorus, selenium, manganese, and copper from nutrition information provided on existing food labels. As a result, information about most of the micronutrients is absent from existing food labels. However, due to governmental regulations and the physical limitations of the labels, food labels often lack comprehensive information about the vitamins and minerals present in foods. ![]() Food labels provide consumers with information regarding the nutritional content of food items and have been identified as a potential tool for improving diets. Asian/Pacific Island Nursing Journal 10 articlesĭepartment of Management and Information Systemsīackground: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals.JMIR Bioinformatics and Biotechnology 32 articles.JMIR Biomedical Engineering 68 articles. ![]() Journal of Participatory Medicine 78 articles.JMIR Perioperative Medicine 89 articles.JMIR Rehabilitation and Assistive Technologies 201 articles.JMIR Pediatrics and Parenting 279 articles.Interactive Journal of Medical Research 306 articles.JMIR Public Health and Surveillance 1141 articles.Journal of Medical Internet Research 7471 articles.
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