Mobile health applications and medication adherence of patients with hypertension: a systematic review and meta-analysis

BS Mikulski, EA Bellei, D Biduski… - American Journal of …, 2022 - Elsevier
Introduction Current evidence has revealed the beneficial effects of mobile health
applications on systolic and diastolic blood pressure. However, there is still no solid …

Health recommender systems development, usage, and evaluation from 2010 to 2022: A scoping 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 scoping review aims to identify and summarize the …

AI-based recommendation model for effective decision to maximise ROI

S Sellamuthu, SA Vaddadi, S Venkata, H Petwal… - Soft Computing, 2023 - Springer
Healthcare researchers have recently concentrated their efforts on new medication
development methodologies that draw on existing pharmacological data. Even while drug …

Using a mobile health app to improve patients' adherence to hypertension treatment: a non-randomized clinical trial

SS Volpi, D Biduski, EA Bellei, D Tefili, L McCleary… - PeerJ, 2021 - peerj.com
Poor adherence to hypertension treatment increases complications of the disease and is
characterized by a lack of awareness and acceptance of ongoing treatment. Mobile health …

Intelligent IoT (IIoT) device to identifying suspected COVID-19 infections using sensor fusion algorithm and real-time mask detection based on the enhanced …

RK Shinde, MS Alam, SG Park, SM Park, N Kim - Healthcare, 2022 - mdpi.com
This paper employs a unique sensor fusion (SF) approach to detect a COVID-19 suspect
and the enhanced MobileNetV2 model is used for face mask detection on an Internet-of …

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 …

An improved cat swarm search-based deep ensemble learning model for group recommender systems

D Roy, M Dutta - Journal of Information & Knowledge Management, 2022 - World Scientific
Recommender systems are often employed in different fields such as music, travel, and
movies. The recommender systems are broadly utilised nowadays due to the emergence of …

Survey on Recommender Systems for Biomedical Items in Life and Health Sciences

M Pato, M Barros, FM Couto - ACM Computing Surveys, 2024 - dl.acm.org
The generation of biomedical data is of such magnitude that its retrieval and analysis have
posed several challenges. A survey of recommender system (RS) approaches in biomedical …

Practical Approach to Designing and Implementing a Recommendation System for Healthy Challenges

J Lopez-Barreiro, JL Garcia-Soidan… - Applied Sciences, 2023 - mdpi.com
Background: The COVID-19 pandemic has worsened sedentary lifestyles and unhealthy
eating habits. It is crucial to promote proper training and healthy habits for all to prevent …

Generating recommendations from multiple data sources: A methodological framework for system design and its application

F Cena, A Rapp, C Musto, G Semeraro - IEEE Access, 2020 - ieeexplore.ieee.org
Recommender systems (RSs) are systems that produce individualized recommendations as
output or drive the user in a personalized way to interesting or useful objects in a space of …