Results 71 to 80 of about 58,236 (257)
BackgroundMobile health (mHealth) as an innovative form of information and communications technology can efficiently deliver high-quality health care by enhancing communication and health management, reducing costs, and increasing
Ashraf Sadat Ahadzadeh +3 more
doaj +1 more source
ABSTRACT Objective This study aimed to evaluate the impact of three lifestyle interventions on perceived physical fatigability. Methods Concurrent with a dietary weight loss program (caloric deficit ~400 kcal/day, weekly dietitian support), older adults with obesity (N = 183) were randomized to three groups: aerobic exercise (150–200 min/week of ...
Reagan E. Garcia +6 more
wiley +1 more source
The use of mobile health (mHealth) applications for incentivizing health behaviour change continues to grow at an unprecedented rate. This growth has been accelerated by recent advancements in smart mobile technology such as cloud computing, internet ...
Kenny, Grace, Clohessy, Trevor
core +1 more source
Abstract Objective To introduce the ExerciseRxTM digital health platform as a scalable approach to support personalized physical activity (PA) and home exercise as part of clinical care. Design Narrative review of Physical Activity Vital Sign (PAVS) integration within an academic healthcare system as well as description and ongoing research on a ...
Cindy Y. Lin, Theresa Kehne
wiley +1 more source
Development of an mHealth platform for HIV care:Gathering user perspectives through co-Design workshops and interviews [PDF]
Background: Despite advances in testing and treatment, HIV incidence rates within European countries are at best stable or else increasing. mHealth technology has been advocated to increase quality and cost-effectiveness of health services while dealing ...
Benjamin Marent (8263557) +5 more
core +1 more source
Basics for Blockchain Healthcare Use and Technology: 101 Course
Session Description: An introduction for the novice on what blockchain technology is, where it fits in the healthcare arena, use cases, and current trends and potential barriers to market.
Cees Hesp
doaj +2 more sources
Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong
BackgroundHealth apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices,
Guan, Lu +2 more
doaj +1 more source
Mobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and signpost ...
Christopher Duckworth +7 more
doaj +1 more source
Review on enhancing clinical decision support system using machine learning
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
A community-engaged approach to developing a mHealth HIV/STI and drug abuse preventative intervention for primary care: a qualitative study [PDF]
BACKGROUND: Despite ongoing prevention efforts, HIV and other sexually transmitted infections (HIV/STIs) and drug use remain public health concerns. Urban adolescents, many of whom are underserved and racial minorities, are disproportionately affected ...
Salas-Wright, C.
core +1 more source

