[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review

I Contreras, J Vehi - Journal of medical Internet research, 2018 - jmir.org
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

[HTML][HTML] Health recommender systems: systematic review

R De Croon, L Van Houdt, NN Htun, G Štiglic… - Journal of Medical …, 2021 - jmir.org
Background: Health recommender systems (HRSs) offer the potential to motivate and
engage users to change their behavior by sharing better choices and actionable knowledge …

The users' perspective on the privacy-utility trade-offs in health recommender systems

AC Valdez, M Ziefle - International Journal of Human-Computer Studies, 2019 - Elsevier
Privacy is a major good for users of personalized services such as recommender systems.
When applied to the field of health informatics, privacy concerns of users may be amplified …

Artificial intelligence methodologies and their application to diabetes

M Rigla, G García-Sáez, B Pons… - Journal of diabetes …, 2018 - journals.sagepub.com
In the past decade diabetes management has been transformed by the addition of
continuous glucose monitoring and insulin pump data. More recently, a wide variety of …

How recommender systems could support and enhance computer-tailored digital health programs: a sco** review

KL Cheung, D Durusu, X Sui, H de Vries - Digital health, 2019 - journals.sagepub.com
Objective Tailored digital health programs can promote positive health-related lifestyle
changes and have been shown to be (cost) effective in trials. However, such programs are …

Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A sco** review

S Hors-Fraile, O Rivera-Romero, F Schneider… - International journal of …, 2018 - Elsevier
Background Recommender systems are information retrieval systems that provide users
with relevant items (eg, through messages). Despite their extensive use in the e-commerce …

Health recommender systems development, usage, and evaluation from 2010 to 2022: A sco** review

Y Cai, F Yu, M Kumar, R Gladney… - International Journal of …, 2022 - mdpi.com
A health recommender system (HRS) provides a user with personalized medical information
based on the user's health profile. This sco** review aims to identify and summarize the …

[HTML][HTML] New digital health technologies for insulin initiation and optimization for people with type 2 diabetes

D Kerr, S Edelman, G Vespasiani, K Khunti - Endocrine Practice, 2022 - Elsevier
Objective The health and economic burden of type 2 diabetes (T2D) is of global significance.
Many people with T2D eventually need insulin to help reduce their risk of serious associated …

Physical activity recommendation system based on deep learning to prevent respiratory diseases

U Bhimavarapu, M Sreedevi, N Chintalapudi… - Computers, 2022 - mdpi.com
The immune system can be compromised when humans inhale excessive cooling. Physical
activity helps a person's immune system, and influenza seasonally affects immunity and …

[HTML][HTML] Artificial intelligence-powered recommender systems for promoting healthy habits and active aging: a systematic review

J Lopez-Barreiro, JL Garcia-Soidan… - Applied Sciences, 2024 - mdpi.com
(1) Background: Increasing life expectancy allows for more age-related health issues.
Enhancing physical, cognitive, mental, and social health is crucial. Promoting healthy habits …