Results 111 to 120 of about 112,365 (326)
Diagnostics, 2021 Mobile health (mHealth) technologies have been identified as promising strategies for improving access to healthcare delivery and patient outcomes. However, the extent of availability and use of mHealth among healthcare professionals in Ghana is not ...
Ernest Osei +3 more
doaj +1 more source
Who uses mHealth apps? Identifying user archetypes of mHealth apps.
Digital health, 2023 This study aims to explore the user archetypes of health apps based on average usage and psychometrics.The study utilized a dataset collected through a dedicated smartphone application and contained usage data, i.e. the timestamps of each app session from October 2020 to April 2021.
Aziz, Maryam +5 more
openaire +2 more sources
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Allergic rhinitis (AR) is a chronic inflammatory disease of the nasal mucosa characterized by allergen sensitization and the involvement of multiple inflammatory mediators. Currently, the treatment of AR mainly includes symptomatic relief, anti‐inflammatory therapy, and nerve desensitization. However, these treatments have limitations in fully
Yue Gu +7 more
wiley +1 more source
JMIR mHealth and uHealth, 2019 BackgroundAlthough elderly users comprise a major user group in the field of mobile health (mHealth) services, their adoption rate of such services is relatively low compared with their use of traditional health services.
Meng, Fanbo +4 more
doaj +1 more source
JMIR Human Factors, 2022 BackgroundChronic pain is a prolonged condition that deteriorates one's quality of life. Treating chronic pain requires a multicomponent approach, and in many cases, there are no “silver bullet” solutions.
Saba Kheirinejad +3 more
doaj +1 more source
Ambivalence in digital health: co-designing an mHealth platform for HIV care [PDF]
, 2018 In reaction to polarised views on the benefits or drawbacks of digital health, the notion of ‘ambivalence’ has recently been proposed as a means to grasp the nuances and complexities at play when digital technologies are embedded within practices of care.
Darking, Mary +2 more
core +2 more sources
Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review
Journal of Asthma and Allergy, 2022 Background Asthma is a variable long-term condition. Currently, there is no cure for asthma and the focus is, therefore, on long-term management. Mobile health (mHealth) is promising for chronic disease management but to be able to realize its potential,
K. C. Tsang +3 more
semanticscholar +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Identification of behaviour change techniques and engagement strategies to design a smartphone app to reduce alcohol consumption using a formal consensus method [PDF]
, 2015 Background: Digital interventions to reduce excessive alcohol consumption have the potential to have a broader reach and be more cost-effective than traditional brief interventions.
Brown, J +4 more
core
CARE 1000. Randomized control trial for the evaluation of the effectiveness of a mHealth App for supporting the first 1000 days of life [PDF]
, 2022 Laura Brunelli +9 more
openalex +1 more source