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 …
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 sco** review
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 …
based on the user's health profile. This sco** review aims to identify and summarize the …
AI-based recommendation model for effective decision to maximise ROI
Healthcare researchers have recently concentrated their efforts on new medication
development methodologies that draw on existing pharmacological data. Even while drug …
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
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 …
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 …
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 …
and the enhanced MobileNetV2 model is used for face mask detection on an Internet-of …
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial
Physical inactivity is a public health issue. Mobile health interventions to promote physical
activity often still experience dropout, resulting in people not adhering to the interventions …
activity often still experience dropout, resulting in people not adhering to the interventions …
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 …
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
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 …
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
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 …
posed several challenges. A survey of recommender system (RS) approaches in biomedical …
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems
While repeating activities can create healthy habits, exploring new physical activities is also
important to increase health benefits and prevent boredom. Following habit formation and …
important to increase health benefits and prevent boredom. Following habit formation and …