Recommender systems in the healthcare domain: state-of-the-art and research issues
Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …
hinders users from finding helpful information for their well-being improvement. Besides, the …
A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
A prediction and recommendation system for diabetes mellitus using XAI-based lime explainer
P Nagaraj, V Muneeswaran… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Diabetes Mellitus is a chronic disease and many people have been affected by this disease.
Early diabetes prognosis can lead to improved treatment for the victims. Data mining …
Early diabetes prognosis can lead to improved treatment for the victims. Data mining …
A systematic review on food recommender systems for diabetic patients
R Yera, AA Alzahrani, L Martínez… - International Journal of …, 2023 - mdpi.com
Recommender systems are currently a relevant tool for facilitating access for online users, to
information items in search spaces overloaded with possible options. With this goal in mind …
information items in search spaces overloaded with possible options. With this goal in mind …
OMDP: An ontology-based model for diagnosis and treatment of diabetes patients in remote healthcare systems
L Chen, D Lu, M Zhu, M Muzammal… - International …, 2019 - journals.sagepub.com
Millions of adults have diabetes across the globe and the overall cost for managing diabetic
patients has reached up to approximately 250 million. A major constraint in existing ontology …
patients has reached up to approximately 250 million. A major constraint in existing ontology …
[HTML][HTML] A survey on automated food monitoring and dietary management systems
V Bruno, S Resende, C Juan - Journal of health & medical …, 2017 - ncbi.nlm.nih.gov
Healthy diet with balanced nutrition is key to the prevention of life-threatening diseases such
as obesity, cardiovascular disease, and cancer. Recent advances in smartphone and …
as obesity, cardiovascular disease, and cancer. Recent advances in smartphone and …
Personalization of wellness recommendations using contextual interpretation
A huge array of personalized healthcare and wellness systems are introduced into the
portfolio of digital health and quantified-self movement in recent years. These systems share …
portfolio of digital health and quantified-self movement in recent years. These systems share …
Construction of recipe knowledge graph based on user knowledge demands
J Cui, X Zhang, D Zheng - Journal of Information Science, 2023 - journals.sagepub.com
Building a recipe knowledge graph from the perspective of user knowledge demands can
provide users with accurate and efficient retrieval results and recipes. Relatively a few …
provide users with accurate and efficient retrieval results and recipes. Relatively a few …
A hybrid framework for a comprehensive physical activity and diet recommendation system
The quantified self-movement has gained a lot of traction, recently. In this regard, research in
personalized wellness support systems has increased. Most of the recommender systems …
personalized wellness support systems has increased. Most of the recommender systems …
[HTML][HTML] A mobile-based diet monitoring system for obesity management
BVR e Silva, MG Rad, J Cui, M McCabe… - Journal of health & …, 2018 - ncbi.nlm.nih.gov
Personal diet management is key to fighting the obesity epidemic. Recent advances in
smartphones and wearable sensor technologies have empowered automated food …
smartphones and wearable sensor technologies have empowered automated food …