e.g. mhealth
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Skip search results from other journals and go to results- 3 Journal of Medical Internet Research
- 2 JMIR Formative Research
- 2 JMIR Medical Informatics
- 2 JMIR mHealth and uHealth
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Our study reveals the promise of machine learning models in classifying individual sections within scientific documents, particularly in the context of addressing inquiries within the pharmaceutical industry. The results from the ROC curves suggest that our classifier models outperform random guessing, demonstrating the highest AUC values for the treatment and adverse events classifiers. The transparency and interpretability of our classifier models were pivotal strengths.
JMIR AI 2025;4:e55277
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Methods such as contextual inquiry explore how technology fits into everyday life and tend to consider the context of the organization or sector [31,32]. Also important are the contextual influences on the ability to engage with digital interventions such as social norms, culture, time, and location [33]. Human-computer interaction analysis only occasionally extends to a distal understanding of the value chain in how interventions work in context and why [34].
J Med Internet Res 2024;26:e50457
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Cultural and Contextual Adaptation of Digital Health Interventions: Narrative Review
Decades-long debates around cultural context in public health interventions [2] are now occurring within the digital health literature with the development of culturally appropriate web- and mobile-based interventions.
J Med Internet Res 2024;26:e55130
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Despite the relatively broad testing approach in the fast-track process, it has not been conclusively clarified whether it is sufficient to face all potential problems in the context of m Health apps. This is partly due to the novelty of the field of care.
In addition to governmental guidelines, there is also a variety of approaches in science to evaluate the quality of m Health apps.
J Med Internet Res 2024;26:e49982
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Untapped Potential of Unobtrusive Observation for Studying Health Behaviors
Studies on human behavior are dominated by traditional obtrusive methods that focus on understanding individual behavior, often overlooking the broader environmental context. For example, typical studies examining interventions to increase physical activity involve interventions delivered to individuals (eg, in primary care) and rely on obtrusive methods to measure physical activity (eg, self-report, pedometers, and accelerometers) [5].
JMIR Public Health Surveill 2024;10:e46638
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Therefore, the aims of this study were to address this gap by giving teachers an informed choice of technology to support their stress management and explore whether and how the technology used in the context of their work was valuable and significant for them. Unexpectedly, this study got underway just when the COVID-19 pandemic hit.
JMIR Form Res 2023;7:e50460
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Geographic context plays a growing role in connecting heterogeneous geoenabled information, especially in health research [1-4]. Spatial context includes elements and interactions with both the societal and the physical infrastructures associated with an individual’s daily activities. This includes accessibility, surrounding natural and built environments, social behaviors, and any related location-specific exposures, understanding that these elements change across geographic areas, scales, and time.
JMIR Med Inform 2022;10(4):e35073
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The proliferation of misinformation, even when harmless, can result in serious social and lethal health consequences in the context of pandemics [8]. As the number of Twitter users has grown in the intervening years since Ebola and Zika, so has the centrality of Twitter in the context of the recent pandemic to the extent that COVID-19 has been referred to as the “Twitter Pandemic” because of its role in distributing medical information and misinformation [9].
JMIR Infodemiology 2022;2(1):e31793
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Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting
Common trial reporting formats and health technology assessments generally demand limited information about an intervention’s implementation or context [41]. Yet without this information, generalizing findings beyond a specific case becomes difficult. It also becomes challenging to determine whether changes detected during a study are due to the intervention or if its implementation or context is causing the effects [26].
JMIR Perioper Med 2021;4(2):e26580
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As a result, currently available apps lack features to deliver personalized diet and nutrition guidance, integrate this guidance into the broader context of daily CD management, and adapt management activities across a lifespan [24]. Overall, tools tend to treat diet and nutrition management as isolated from other components of management.
JMIR Hum Factors 2021;8(3):e27452
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