[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] The role of artificial intelligence in deciphering diet–disease relationships: case studies

Y Cohen, R Valdés-Mas, E Elinav - Annual review of nutrition, 2023 - annualreviews.org
Modernization of society from a rural, hunter-gatherer setting into an urban and industrial
habitat, with the associated dietary changes, has led to an increased prevalence of …

A study on body fat percentage for physical fitness and prevention of obesity: a two compartment model

D Mohajan, HK Mohajan - Journal of Innovations in Medical …, 2023 - paradigmpress.org
The minimal amount of body fat is necessary for normal physiological functions that
manages body temperature, creates energy to perform all the physical activities, and …

Artificial intelligence in nutrition research: perspectives on current and future applications

M Côté, B Lamarche - Applied Physiology, Nutrition, and …, 2022 - cdnsciencepub.com
Artificial intelligence (AI) is a rapidly evolving area that offers unparalleled opportunities of
progress and applications in many healthcare fields. In this review, we provide an overview …

The potential of artificial intelligence in enhancing adult weight loss: a scoping review

HSJ Chew, WHD Ang, Y Lau - Public health nutrition, 2021 - cambridge.org
Objective: To present an overview of how artificial intelligence (AI) could be used to regulate
eating and dietary behaviours, exercise behaviours and weight loss. Design: A scoping …

[HTML][HTML] Determining the effective factors in predicting diet adherence using an intelligent model

H Mousavi, M Karandish, A Jamshidnezhad… - Scientific Reports, 2022 - nature.com
Adhering to a healthy diet plays an essential role in preventing many nutrition-related
diseases, such as obesity, diabetes, high blood pressure, and other cardiovascular …

Systematic review of machine learning applied to the prediction of obesity and overweight

A Ferreras, S Sumalla-Cano, R Martínez-Licort… - Journal of medical …, 2023 - Springer
Obesity and overweight has increased in the last year and has become a pandemic disease,
the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and …

Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art

A Abeltino, A Riente, G Bianchetti, C Serantoni… - Nutrition …, 2024 - academic.oup.com
The objective of this review was to critically examine existing digital applications, tailored for
use by citizens and professionals, to provide diet monitoring, diet planning, and precision …

Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques.

M Calderón-Díaz, LJ Serey-Castillo… - Procedia Computer …, 2023 - Elsevier
Overweight and obesity are considered epidemic problems. The number of factors involved
in developing extra body fat makes harder the detection of this problem. Therefore, among …

[HTML][HTML] Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data …

VRDM Herbuela, T Karita, Y Furukawa, Y Wada… - Plos one, 2022 - journals.plos.org
Communication interventions have broadened from dialogical meaning-making,
assessment approaches, to remote-controlled interactive objects. Yet, interpretation of the …