e.g. mhealth
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Skip search results from other journals and go to results- 7060 Journal of Medical Internet Research
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Previous Mobilise-D work has shown that these DMOs can be estimated accurately and reliably in the real world across a range of cohorts (healthy older adults and adults with Parkinson disease, multiple sclerosis, congestive heart failure, chronic obstructive pulmonary disease, and hip fracture), tasks, and contextual factors [26,27].
JMIR Form Res 2025;9:e67792
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testing of the multidimensional scale of perceived social support in patients with comorbid COPD and heart
JMIR Res Protoc 2025;14:e63723
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The evolution of smart home health care has shifted chronic disease management from hospitals to home environments, realizing concepts such as “aging in place.”
Advances in mobile technologies, including Io T and sensors, have greatly enhanced usability and personalized care [13]. These innovations accelerate adoption cycles by enabling remote health management and fostering personalized, user-focused smart home health care solutions, leveraging technologies such as AI and blockchain.
J Med Internet Res 2025;27:e62793
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Telemedicine for remote monitoring and chronic disease treatment is well placed to become a key approach to dealing with this demographic shift.
The COVID-19 pandemic presented health systems all over the globe, including in Sweden, with unprecedented challenges. Prior to the pandemic, telemedicine was sufficiently flexible to address a wide range of symptoms and care requirements [14].
JMIR Form Res 2025;9:e60294
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People receiving Supplemental Nutrition Assistance Program (SNAP) benefits consume fewer fruits and vegetables compared with people not receiving these benefits [2], and low-income food-insecure households have higher rates of chronic disease [3]. Accordingly, increasing fruit and vegetable consumption is a national priority to reduce chronic disease risk among Americans [1], and this is especially important for low-income households.
Children tend to eat insufficient fruits and vegetables [4-6].
JMIR Form Res 2025;9:e70104
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Mahajan et al [35] conducted a review of ensemble learning techniques for disease prediction. They found that stacking—an ensemble method that combines multiple classifiers—showed the most accurate performance in 19 out of 23 cases. The voting approach was identified as the second-best ensemble method. However, ensemble methods are computationally intensive and may introduce latency in real-time clinical applications [36].
JMIR Med Inform 2025;13:e66917
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Dual-task training has been widely applied among populations with clinical conditions, such as stroke, Parkinson disease, and cognitive impairment. A systematic review of 13 randomized controlled trials (RCTs) on stroke survivors reported that dual-task training could improve walking and balance function [8]. A recent meta-analysis of 14 RCTs estimated a small-to-moderate effect in improving cognitive function among stroke survivors [9].
JMIR Aging 2025;8:e67267
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Stakeholder analysis for the development of a community pharmacy service aimed at preventing cardiovascular disease
JMIR Rehabil Assist Technol 2025;12:e65759
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Respiratory diseases pose a global health challenge, with chronic obstructive pulmonary disease (COPD) and asthma among the most prevalent types [1]. These conditions result in significant morbidity and mortality worldwide, imposing a substantial and growing health burden [2,3].
While severe respiratory diseases are often incurable, inhaled medications can prevent acute exacerbations [4].
JMIR Mhealth Uhealth 2025;13:e57645
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The user experience is tailored to accommodate various factors, including individual goals, accessibility and literacy needs, language preferences, disease profiles, ethnicity, age, gender, and geographical location. This personalized approach aims to enhance the effectiveness of the intervention by catering to the unique needs and preferences of each user.
J Med Internet Res 2025;27:e62661
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