Results 41 to 50 of about 90,282 (254)
IEEE AccessComputer-aided disease diagnosis and prognosis based on medical images is a rapidly emerging field. Many Convolutional Neural Network (CNN) architectures have been developed by researchers for disease classification and localization from chest X-ray ...
Md. Iqbal Hossain +5 more
doaj +1 more source
Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process
JMIR Formative Research, 2023 Well-documented scientific evidence indicates that mobile health (mHealth) apps can improve the quality of life, relieve symptoms, and restore health for patients.
Qingfan An +3 more
doaj +1 more source
Patterns of Sedentary Time and Quality of Life in Women With Fibromyalgia: Cross-Sectional Study From the al-Ándalus Project [PDF]
, 2019 Background: Sedentary time (ST) has been associated with detrimental health outcomes in fibromyalgia. Previous evidence in the general population has shown that not only is the total amount of ST harmful but the pattern of accumulation of sedentary ...
Acosta Manzano, Pedro +5 more
core +3 more sources
Commercial Video Games As Therapy: A New Research Agenda to Unlock the Potential of a Global Pastime
Frontiers in Psychiatry, 2018 Emerging research suggests that commercial, off-the-shelf video games have potential applications in preventive and therapeutic medicine. Despite these promising findings, systematic efforts to characterize and better understand this potential have not ...
Michelle Colder Carras +9 more
doaj +1 more source
Does mobile phone ownership predict better utilization of maternal and newborn health services? a cross-sectional study in Timor-Leste. [PDF]
, 2016 BackgroundIncreasingly popular mobile health (mHealth) programs have been proposed to promote better utilization of maternal, newborn and child health services.
Gu, Jing +5 more
core +1 more source
Frontiers in Psychology, 2022 Mobile health (mHealth) services have been widely used in medical services and health management through mobile devices and multiple channels, such as smartphones, wearable equipment, healthcare applications (Apps), and medical platforms.
Yizhi Liu +5 more
doaj +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aims To determine the prevalence of non‐adherence to antihypertensive medicines and to identify demographic and behavioral factors associated with non‐adherence in subjects enrolled in the May Measurement Month (MMM) 2023, as part of the permanent public health action Hunting the silent killer.
Valerija Bralić Lang +12 more
wiley +1 more source
Application of machine learning to support self-management of asthma with mHealth [PDF]
, 2020 While there have been several efforts to use mHealth technologies to support asthma management, none so far offer personalised algorithms that can provide real-time feedback and tailored advice to patients based on their monitoring.
Pinnock, Hilary +3 more
core +2 more sources
Journal of the American Medical Directors Association, 2018 Sin financiación 4.899 JCR (2018) Q1, 6/53 Geriatrics & Gerontology 2.123 SJR (2018) Q1, 6/114 Geriatrics and Gerontology, 9/259 Health Policy, 139/2844 Medicine (miscellaneous), 2/152 Nursing (miscellaneous) No data IDR 2018 ...
Pedro L. Valenzuela +5 more
openaire +4 more sources
British Journal of Clinical Pharmacology, EarlyView.Abstract Health care is shifting towards a digital‐guided system, integrating digital diagnostics, biomarkers and therapeutics in many care pathways. However, despite rapid technological advancement and preliminary adoption accelerated by the COVID‐19 pandemic, a significant implementation gap persists. This narrative review explores the causes of this
Mees H. P. Stoop +3 more
wiley +1 more source