ArticleNutrients2019
Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Estimating Nutrient Composition of Packaged Foods Using Natural Language Processing and Optimization Modeling.Current developments in nutrition · 2026Article
- The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.Nutrients · 2025Article
- Polysaccharide nanoparticles as building blocks for food processing applications: A comprehensive review.Food science and biotechnology · 2025Review
- Investigation and Assessment of AI's Role in Nutrition-An Updated Narrative Review of the Evidence.Nutrients · 2025Review
- Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review.Journal of medical Internet research · 2024Article
- Prevalence and Risk Factors of Iron Deficiency and Anemia in Women of Reproductive Age in the Hispanic Community Health Study/Study of Latinos.Current developments in nutrition · 2024Article
- Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods.Nutrients · 2023Article
- Innovative strategies to predict and prevent the risk for malnutrition in child, adolescent, and young adult cancer survivors.Frontiers in nutrition · 2023Review
- Machine learning models to predict micronutrient profile in food after processing.Current research in food science · 2023Article
- Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets.Frontiers in nutrition · 2022Article
- Development of an Unified Food Composition Database for the European Project "Stance4Health".Nutrients · 2021Article
- Potential of existing online 24-h dietary recall tools for national dietary surveys.Public health nutrition · 2021Article
- An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.Nutrients · 2021Article
- Artificial Intelligence in Nutrients Science Research: A Review.Nutrients · 2021Review
- Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.Nutrients · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a free dietary recall system that outputs fewer nutrients than the Nutrition Data System for Research (NDSR). NDSR uses the Nutrition Coordinating Center (NCC) Food and Nutrient Database, both of which require a license. Manual lookup of ASA24 foods into NDSR is time-consuming but currently the only way to acquire NCC-exclusive nutrients. Using lactose as an example, we evaluated machine learning and database matching methods to estimate this NCC-exclusive nutrient from ASA24 reports. ASA24-reported foods were manually looked up into NDSR to obtain lactose estimates and split into training (
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Registered trials
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