AIMC Topic: Nutrition Policy
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AI nutrition recommendation using a deep generative model and ChatGPT.
Scientific reports
Jun 25, 2024
In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary recommendations and improve overall health and well-being. H...
A machine learning (ML) approach to understanding participation in government nutrition programs.
Current opinion in psychology
Jun 21, 2024
Machine Learning (ML) affords researchers tools to advance beyond research methods commonly employed in psychology, business, and public policy studies of federal nutrition programs and participant food decision-making. It is a sub domain of AI that ...
Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data.
Scientific reports
Nov 16, 2022
Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kidney diseases. Recent results indicate that a daily urinary concentration of 500 mOsm/kg reflects optimal hydration. This study aims at providing perso...
Machine learning can improve the development of evidence-based dietary guidelines.
Public health nutrition
Jun 27, 2022
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.
Nutrients
Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Food for thought: A natural language processing analysis of the 2020 Dietary Guidelines publice comments.
The American journal of clinical nutrition
Aug 2, 2021
BACKGROUND: The Administrative Procedure Act of 1946 guarantees the public an opportunity to view and comment on the 2020 Dietary Guidelines as part of the policymaking process. In the past, public comments were submitted by postal mail or public hea...
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.
IEEE journal of biomedical and health informatics
Jan 1, 2018
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...
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