Artificial intelligence in nutrients science research: a review

J Sak, M Suchodolska - Nutrients, 2021 - mdpi.com
Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate
thought processes, learning abilities and knowledge management, finds more and more …

[HTML][HTML] An automatic ontology-based approach to support logical representation of observable and measurable data for healthy lifestyle management: Proof-of …

A Chatterjee, A Prinz, M Gerdes, S Martinez - Journal of Medical Internet …, 2021 - jmir.org
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause
of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle …

DIETOS: A dietary recommender system for chronic diseases monitoring and management

G Agapito, M Simeoni, B Calabrese, I Caré… - Computer methods and …, 2018 - Elsevier
Background and objective Use of mobile and web-based applications for diet and weight
management is currently increasing. However, the impact of known apps on clinical …

[HTML][HTML] Personalized recommendations for physical activity e-coaching (OntoRecoModel): ontological modeling

A Chatterjee, A Prinz - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background Automatic e-coaching may motivate individuals to lead a healthy lifestyle with
early health risk prediction, personalized recommendation generation, and goal evaluation …

DMTO: a realistic ontology for standard diabetes mellitus treatment

S El-Sappagh, D Kwak, F Ali, KS Kwak - Journal of biomedical semantics, 2018 - Springer
Background Treatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical
decision support system (CDSS) based on massive and distributed electronic health record …

[HTML][HTML] Investigation and Assessment of AI's Role in Nutrition—An Updated Narrative Review of the Evidence

H Kassem, AA Beevi, S Basheer, G Lutfi… - Nutrients, 2025 - mdpi.com
Background: Artificial Intelligence (AI) technologies are now essential as the agenda of
nutrition research expands its scope to look at the intricate connection between food and …

IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness

A Gyrard, A Sheth - Smart Health, 2020 - Elsevier
Nowadays, healthy lifestyle, fitness, and diet habits have become central applications in our
daily life. Positive psychology such as well-being and happiness is the ultimate dream of …

Towards an “Internet of Food”: food ontologies for the internet of things

MN Kamel Boulos, A Yassine, S Shirmohammadi… - Future Internet, 2015 - mdpi.com
Automated food and drink recognition methods connect to cloud-based lookup databases
(eg, food item barcodes, previously identified food images, or previously classified NIR …

[HTML][HTML] FangNet: mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm

D Bu, Y Xia, JY Zhang, W Cao, P Huo, Z Wang… - Computational and …, 2021 - Elsevier
The use of herbs to treat various human diseases has been recorded for thousands of years.
In Asia's current medical system, numerous herbal formulas have been repeatedly verified to …

Survey of various statistical numerical and machine learning ontological models on infectious disease ontology

Y Natarajan, S Kannan… - Data Analytics in …, 2021 - Wiley Online Library
In this chapter, we present a survey on various decision support methods that uses ontology
as its tool to provide the reasoning, medical knowledge list, attributes and relationship …