A machine learning approach to short-term body weight prediction in a dietary intervention program

O Babajide, T Hissam, P Anna, G Anatoliy… - … Science–ICCS 2020 …, 2020 - Springer
Weight and obesity management is one of the emerging challenges in current health
management. Nutrient-gene interactions in human obesity (NUGENOB) seek to find various …

Modeling and Optimization with Artificial Intelligence in Nutrition

V Knights, M Kolak, G Markovikj, J Gajdoš Kljusurić - Applied Sciences, 2023 - mdpi.com
Featured Application Artificial intelligence offers supreme opportunities for advancement
and application in nutrition. Abstract The use of mathematical modeling and optimization in …

Using data mining to predict success in a weight loss trial

M Batterham, L Tapsell, K Charlton… - Journal of Human …, 2017 - Wiley Online Library
Background Traditional methods for predicting weight loss success use regression
approaches, which make the assumption that the relationships between the independent …

Machine learning approach to predict body weight in adults

K Fujihara, M Yamada Harada, C Horikawa… - Frontiers in Public …, 2023 - frontiersin.org
Background Obesity is an established risk factor for non-communicable diseases such as
type 2 diabetes mellitus, hypertension and cardiovascular disease. Thus, weight control is a …

OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI

M Roy, S Das, AT Protity - arXiv preprint arXiv:2308.02796, 2023 - arxiv.org
Obesity, the leading cause of many non-communicable diseases, occurs mainly for eating
more than our body requirements and lack of proper activity. So, being healthy requires …

Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence

R Kaur, R Kumar, M Gupta - Endocrine, 2022 - Springer
Background An unhealthy diet or excessive amount of food intake creates obesity issues in
human beings that further may cause several diseases such as Polycystic Ovary Syndrome …

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 …

Application of machine learning to predict dietary lapses during weight loss

SP Goldstein, F Zhang, JG Thomas… - Journal of diabetes …, 2018 - journals.sagepub.com
Background: Individuals who adhere to dietary guidelines provided during weight loss
interventions tend to be more successful with weight control. Any deviation from dietary …

[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 …

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 …