HAFED POLY Journal of Science, Management and Technology Journal/HAFED POLY Journal of Science, Management and Technology/Vol. 5 No. 2 (2023)/Articles …

UO Matthew, M Aderinola, I Shuaibu, JS Kazaure… - ajol.info
A considerable number of published research has indicated that evaluating the success of
weightloss therapy involves proper dietary examination. On the other hand, the bulk of …

[HTML][HTML] 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 …

The eNutri app: using diet quality indices to deliver automated personalised nutrition advice

R Fallaize, M Weech, R Zenun Franco… - Agro Food Industry …, 2020 - centaur.reading.ac.uk
Personalising nutrition advice using digital technologies, such as web-apps, offers great
potential to improve users' adherence to healthy eating guidelines. However, commercial …

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 …

NutriScale: Key Figures for Daily Food Choices

J Bauer, I Volkhardt, M Michl, C Blumthaler… - Advanced …, 2016 - Trans Tech Publ
In this paper the NutriScale-Algorithm is described. NutriScale interprets meals and
calculates health related scores. It is based on a food pyramid, which was created by the …

An intelligent artificial neural network and fuzzy logic-based diet advisory system

R Shabani, SA Monajemi, SM Safavi… - Health Information …, 2018 - him.mui.ac.ir
Introduction: The goal of the present study was to develop an automatic and high-
performance professional nutrition and diet advisor system to help the users to evaluate their …

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 …

A study of data mining methods for identification undernutrition and overnutrition in obesity

TM Mulyono, F Natalia, S Sudirman - Proceedings of the 2019 3rd …, 2019 - dl.acm.org
Indonesia is currently experiencing the Double Burden Nutrition problem. This is a problem
when a significant proportion of the population is endangerd with the problem of …

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 …

[PDF][PDF] A Study on Machine Learning Based Nutritional Recommendations for Individuals with Diabetes

DPP Venkatesh Kondaveti, GVS Raju - ijarasem.com
Diabetes is a serious metabolic condition that can have a significant impact on the entire
body. These days, diabetes has turned into a typical sickness to humanity from youthful to …