AIMC Topic: Nutrients
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Phenotyping Women Based on Dietary Macronutrients, Physical Activity, and Body Weight Using Machine Learning Tools.
Nutrients
Jul 22, 2019
Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offer novel means to achieve phenotyping. The primary aim of this study was to use energy balance components, namely input (dietary energy intake and macr...
Shallow convective mixing promotes massive Noctiluca scintillans bloom in the northeastern Arabian Sea.
Marine pollution bulletin
Dec 5, 2018
The northeastern Arabian Sea (NEAS) experiences convective mixing during winter, but this mixing does not reach up to the silicicline, resulting in the limited supply of silicate (Si) compared to nitrate (N) and phosphate (P) to the mixed layer (ML) ...
Navigating nutrients: A scoping review on real-time food nutrition classification and recommendation systems.
Computers in biology and medicine
Jun 1, 2025
In an era where fast-paced lifestyles often conflict with the pursuit of healthy eating, the demand for innovative solutions to aid nutritional decision-making has never been more pressing. Real-time food nutrition classification and recommendation s...
Application of artificial intelligence for nutrient estimation in surface water bodies of basins with intensive agriculture.
Integrated environmental assessment and management
Mar 1, 2025
Eutrophication is one of the most relevant concerns due to the risk to water supply and food security. Nitrogen and phosphorus chemical species concentrations determined the risk and magnitude of eutrophication. These analyses are even more relevant ...
Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review.
Advances in nutrition (Bethesda, Md.)
Dec 22, 2022
Dietary assessment can be crucial for the overall well-being of humans and, at least in some instances, for the prevention and management of chronic, life-threatening diseases. Recall and manual record-keeping methods for food-intake monitoring are a...
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate nutrient intake have been developed, there is still a clear demand for ...
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