A machine learning approach to short-term body weight prediction in a dietary intervention program
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 …
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 …
and application in nutrition. Abstract The use of mathematical modeling and optimization in …
Using data mining to predict success in a weight loss trial
Background Traditional methods for predicting weight loss success use regression
approaches, which make the assumption that the relationships between the independent …
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 …
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 …
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 …
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
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 …
Application of machine learning to predict dietary lapses during weight loss
Background: Individuals who adhere to dietary guidelines provided during weight loss
interventions tend to be more successful with weight control. Any deviation from dietary …
interventions tend to be more successful with weight control. Any deviation from dietary …
[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 …
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 …