Applicability of machine learning techniques in food intake assessment: A systematic review
L Oliveira Chaves, AL Gomes Domingos… - Critical Reviews in …, 2023 - Taylor & Francis
The evaluation of food intake is important in scientific research and clinical practice to
understand the relationship between diet and health conditions of an individual or a …
understand the relationship between diet and health conditions of an individual or a …
[HTML][HTML] Precision nutrition: A systematic literature review
Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
[HTML][HTML] Analysis of meal patterns with the use of supervised data mining techniques—artificial neural networks and decision trees
AP Hearty, MJ Gibney - The American journal of clinical nutrition, 2008 - Elsevier
Background: At present, the analysis of dietary patterns is based on the intake of individual
foods. This article demonstrates how a coding system at the meal level might be analyzed by …
foods. This article demonstrates how a coding system at the meal level might be analyzed by …
[HTML][HTML] Machine learning and personalized nutrition: a promising liaison?
PG Ferrario, K Gedrich - European Journal of Clinical Nutrition, 2024 - nature.com
Personalized nutrition (PN) receives growing attention by the research community, the food
industry, the media, and the public. New scientific papers are published and position …
industry, the media, and the public. New scientific papers are published and position …
[HTML][HTML] goFOODTM: An Artificial Intelligence System for Dietary Assessment
Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault… - Sensors, 2020 - mdpi.com
Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
[HTML][HTML] Using two different approaches to assess dietary patterns: hypothesis-driven and data-driven analysis
The use of dietary patterns to assess dietary intake has become increasingly common in
nutritional epidemiology studies due to the complexity and multidimensionality of the diet …
nutritional epidemiology studies due to the complexity and multidimensionality of the diet …
Alternatives to calorie-based indicators of food security: An application of machine learning methods
Identifying food insecure households in an accurate and cost-effective way is important for
targeted food policy interventions. Since predictive accuracy depends partly on which …
targeted food policy interventions. Since predictive accuracy depends partly on which …
Diet recommendation system based on different machine learners: A review
M Shah, S Degadwala, D Vyas - 2022 Second International …, 2022 - ieeexplore.ieee.org
In today's culture, many people suffer from a range of ailments and illnesses. It's not always
simple to recommend a diet right away. The majority of individuals are frantically trying to …
simple to recommend a diet right away. The majority of individuals are frantically trying to …
[HTML][HTML] Predicting obesity in adults using machine learning techniques: an analysis of Indonesian basic health research 2018
Obesity is strongly associated with multiple risk factors. It is significantly contributing to an
increased risk of chronic disease morbidity and mortality worldwide. There are various …
increased risk of chronic disease morbidity and mortality worldwide. There are various …
Emerging trends of technology-based dietary assessment: a perspective study
X Zhao, X Xu, X Li, X He, Y Yang, S Zhu - European journal of clinical …, 2021 - nature.com
Among the issues that threaten human health, noncommunicable diseases (NCDs) remain a
leading concern. Much of the increase in NCDs results from preventable risk factors, with …
leading concern. Much of the increase in NCDs results from preventable risk factors, with …