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Skip search results from other journals and go to results- 28 Journal of Medical Internet Research
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This approach fosters trust, ensures accountability, and aligns with the principles outlined in the Artificial Intelligence Act adopted by the European Parliament in March 2024 [14]. All these challenges were encountered by the Horizon 2020 European Union–funded NIGHTINGALE (Novel Integrated Toolkit for Enhanced Pre-Hospital Life Support and Triage in Challenging and Large Emergencies) project as it pursued its objective of developing a toolkit for supporting first responders in managing MCIs [15].
J Med Internet Res 2025;27:e67318
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An “other” response offered the option for typing a comment into the fill-in box to indicate the reason for delaying toileting. At each of these interactions with the app, geospatial data were gathered automatically.
In addition to real-time reporting, Where I Go has built-in EMA, which the woman sees as pushed “Check-In” notifications. Push notifications for additional assessments offer users the opportunity to update information in the app if the recording of a toileting event was missed in real time.
JMIR Mhealth Uhealth 2025;13:e56533
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Existing findings draw on more than a decade of broad research into time spent on social media and online engagement patterns, including both active and passive social media use [1-3]. The rapidly changing nature of social media related behaviors exacerbates the difficulty of inquiry in this field and necessitates focused social media research questions to try to extend and explain the findings from existing studies to explore this complexity in greater depth.
J Med Internet Res 2024;26:e57154
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The Health4 Me study was used as the context for this research. The full protocol is published elsewhere [25]. In brief, the Health4 Me Study is a virtual clinical trial, based in Australia, of a community-based, 6-month text message intervention. The intervention aims to improve physical activity and nutrition behaviors among adolescents aged 12 to 18 years.
JMIR Pediatr Parent 2024;7:e62919
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The goal of the study was to understand the types of outcomes that were perceived as meaningful by a diverse sample of adults living with T1 D in Ontario, in the context of their usual care and self-management experiences. In order for the study to inform the trial’s design, we also needed to understand their education and support needs. In addition, we aimed to identify the aspects of a digital health care intervention that were important to individuals living with T1 D.
JMIR Diabetes 2024;9:e60190
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A guiding principle in the build was that any interaction asked for by the app would require no more than 6 clicks by the user.
The main variable of interest is a toileting event. Figure 1 portrays a brief overview of the screen visuals that guide women through Where IGo. Each panel shows a key component within the app. Screen 1 highlights the logo and other design features.
JMIR Res Protoc 2024;13:e54046
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All code for the Open SAFELY platform for data management, analysis, and secure code execution is shared for review and reuse under open licenses [24]. All project code used for data management and analysis is also shared openly for review and reuse under the Massachusetts Institute of Technology license [25]. The developed codelist is publicly available as well [18].
JMIR Public Health Surveill 2024;10:e46485
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The advent of the electronic health record (EHR) and the wealth of longitudinal clinical data contained therein have afforded tremendous opportunities for both clinical research and digital health applications. Fundamental to the feasibility of both of these applications is the availability of clinical information, which, despite the plethora of raw data available in the EHR, can be nontrivial to extract in a computationally accessible format.
JMIR Med Inform 2024;12:e49997
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Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study
Then, we fit the algorithms with these candidate values on the training set and collected the loss on the test set. Finally, for each hyperparameter of each algorithm, we plotted the training and testing errors against the candidate values and select the ones where the testing errors stop decreasing. We then equipped the algorithms with the best hyperparameter candidate and include them in the SL library.
JMIR Public Health Surveill 2024;10:e53322
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The CRF variables we included originate from the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 Core CRF [24], as well as from 3 of the many international research projects focused on gaining new insights into SARS-Co V-2: the ORCHESTRA project [25], the Intersectoral Platform (SUEP) of the National Pandemic Cohort Network (NAPKON SUEP) study [26], and the Lean European Open Survey on SARS-Co V‑2 (LEOSS) [27] study.
J Med Internet Res 2024;26:e50049
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