Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

Wearables are a ubiquitous trend in both commercial and academic settings as they easily
enable tracking and monitoring of physiological parameters such as heart rate (HR) and …

In this paper, a novel multitask healthcare management recommendation system leveraging
the knowledge graph is proposed, which is based on deep neural network and 5G network …

Background The dose–response relationship between patient engagement and long-term
intervention effects in mobile health (mHealth) interventions are understudied. Studies …

Purpose The increase in the number of healthcare wearable (Internet of Things) IoT options
is making it difficult for individuals, healthcare experts and physicians to find the right smart …

The Internet of Things (IoT) base has grown to over 20 billion devices currently operational
worldwide. As they greatly extend the applicability and use of biosensors, IoT developments …

The TeNDER project aims to improve the quality of life (QoL) of chronic patients through an
integrated care ecosystem. This study evaluates the health recommender system (HRS) …

In recent years, there has been growing interest in recommendation systems, which is
matched by their widespread adoption across various sectors. This can be attributed to their …

A sanitary crisis is a series of health events that can affect a large number of persons. Late
events (COVID 19) have shown how unprepared we are to such situations. This issue raises …

Internet of things (IoT) emerged as a promising technology in the last decade and predicted
to be ascendant in the next. Its application in the producer side of the healthcare industry is …