AIMC Topic: Nutrition Assessment
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Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.
Nutrients
Dec 13, 2019
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 Nutrie...
Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for ssp. L.
Sensors (Basel, Switzerland)
May 29, 2019
Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization. The imaging technology based on visible light is relatively inexpensive and ubiquitous, and open-source analysis tools have proliferated. In this st...
Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map.
Nutrients
Dec 18, 2018
An objective dietary assessment system can help users to understand their dietary behavior and enable targeted interventions to address underlying health problems. To accurately quantify dietary intake, measurement of the portion size or food volume ...
Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment.
Public health nutrition
Apr 6, 2018
OBJECTIVE: The present study tested the combination of an established and a validated food-choice research method (the 'fake food buffet') with a new food-matching technology to automate the data collection and analysis.
NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment.
Nutrients
Jun 27, 2017
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approache...
Automatic diet monitoring: a review of computer vision and wearable sensor-based methods.
International journal of food sciences and nutrition
Jan 31, 2017
Food intake and eating habits have a significant impact on people's health. Widespread diseases, such as diabetes and obesity, are directly related to eating habits. Therefore, monitoring diet can be a substantial base for developing methods and serv...
Dietary pattern, serum magnesium, ferritin, C-reactive protein and anaemia among older people.
Clinical nutrition (Edinburgh, Scotland)
Dec 25, 2015
BACKGROUND & AIMS: Epidemiological data of dietary patterns and anaemia among older Chinese remains extremely scarce. We examined the association between dietary patterns and anaemia in older Chinese, and to assess whether biomarkers of serum magnesi...
Magnesium
Nutrition Assessment
Aged
Anemia, Iron-Deficiency
Diet
Ferritins
Cross-Sectional Studies
Body Mass Index
Mental Recall
Exercise
Body Weight
Male
China
Dietary Supplements
Prevalence
Asian People
Humans
Middle Aged
Inflammation
C-Reactive Protein
Biomarkers
Nutrition Surveys
Female
Socioeconomic Factors
Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax.
Artificial intelligence in medicine
Oct 22, 2015
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncological outpatients are no standard practice in many European hospital wards and outpatient settings. As a result, early signs of malnutrition are missed an...
Artificial intelligence assisted nutritional risk evaluation model for critically ill patients: Integration of explainable machine learning in intensive care nutrition.
Asia Pacific journal of clinical nutrition
Jun 1, 2025
BACKGROUND AND OBJECTIVES: Critically ill patients require individualized nutrition support, with assessment tools like Nutrition Risk Screening 2002 and Nutrition Risk in the Critically Ill scores. Challenges in continu-ous nutrition care prompt the...
Machine learning models for predicting malnutrition in NICU patients: A comprehensive benchmarking study.
Computers in biology and medicine
Jun 1, 2025
Malnutrition, affecting both adults and children globally, results from inadequate nutrient intake or loss of body mass. Traditional screening tools, reliant on detailed questionnaires, are costly, time-consuming, and often lack accuracy and generali...
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