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 …

[HTML][HTML] Precision nutrition: A systematic literature review

D Kirk, C Catal, B Tekinerdogan - Computers in Biology and Medicine, 2021 - Elsevier
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 …

[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 …

[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 …

[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) …

[HTML][HTML] Using two different approaches to assess dietary patterns: hypothesis-driven and data-driven analysis

ÁN Previdelli, SC De Andrade, RM Fisberg… - Nutrients, 2016 - mdpi.com
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 …

Alternatives to calorie-based indicators of food security: An application of machine learning methods

M Hossain, C Mullally, MN Asadullah - Food policy, 2019 - Elsevier
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 …

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 …

[HTML][HTML] Predicting obesity in adults using machine learning techniques: an analysis of Indonesian basic health research 2018

SA Thamrin, DS Arsyad, H Kuswanto, A Lawi… - Frontiers in …, 2021 - frontiersin.org
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 …

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 …