e.g. mhealth
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Skip search results from other journals and go to results- 47 Journal of Medical Internet Research
- 34 JMIR Formative Research
- 24 JMIR Medical Informatics
- 21 JMIR mHealth and uHealth
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- 12 JMIR Public Health and Surveillance
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However, this validation process overlooked caregivers, an essential yet often neglected population in HRQo L research. Caregivers play a vital role in the health care system, providing continuous support to individuals with chronic illnesses and disabilities. Despite their crucial contributions, caregivers often experience significant physical, emotional, and financial burdens, which in turn affect their own Qo L [10-13].
Caregivers of persons with RDs face particularly severe challenges.
JMIR Public Health Surveill 2025;11:e72590
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The test set used for the validation of the newly developed models was taken from the STREs Wo Z dataset and comprised 13 individuals displaying 1 of the 16 emotions. All individuals were women, with a mean age of 20.92 (SD 2.06; range 18-24) years, White, and—except for 1—reported elevated subjective stress levels. The test set included 3018 videos. For the validation with human observers, they were not only shown the emotional phase but the entire videos.
J Med Internet Res 2025;27:e68942
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Finally, the datasets were divided into training and test sets and validated using 5x10-fold cross-validation.
Since it is not feasible to universally preselect suitable algorithms in advance, it was necessary to test and evaluate various learning algorithms tailored to specific scenarios [25].
The LR algorithm was selected as the baseline for classification tasks because it predicts the probability of a target variable and is widely used in both binary and multiclass classifications.
JMIR Med Inform 2025;13:e60204
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The shuffled dataset was then divided into training, validation, and testing sets comprising 2758, 592 and 591 data points respectively.
Our approach used a U-Net-based model enhanced with label distribution smoothing (LDS) techniques [28]. The model optimization leveraged the Adam optimizer, chosen for its efficient handling of large datasets and adaptability in gradient-based optimization.
JMIR Form Res 2025;9:e60455
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We rely on MII assets for terminology services, validation, and profile conformance.
To implement this solution, we propose creating a FHIR server, built upon an open-source FHIR implementation such as HAPI FHIR. The server would facilitate the interoperable exchange of medication data between existing hospital systems.
JMIR Med Inform 2025;13:e64099
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Development and Validation of the Media Health Literacy Scale: Assessment Tool Development Study
A total of 30 participants representing general consumers who were not health care professionals completed the revised MHLS draft generated from the content validation and provided comments for further revision.
A survey was conducted for construct validation using the MHLS semifinalized draft prepared based on the content validation and the pilot testing. The process included descriptive analysis, item analysis, factor analysis, and reliability tests.
J Med Internet Res 2025;27:e62884
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Additionally, it shows the results of validation and quality assessment of the mobile application “CONTIGO” by using the MARS, which allows m Health developers to maximize the application’s benefits to significantly impact the patient [22,30-36].
This study employed a mixed methods approach. This methodology is presented in two sections: (1) design a mobile application, and (2) validation and quality assessment.
JMIR Hum Factors 2025;12:e60169
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Study recruitment and data collection for the ACE-X validation study took place simultaneously between May 2021 and January 2023. Adult participants were recruited via advertising on various social media platforms (eg, Craigslist [Craig Newmark] and Facebook [Meta Platforms]), MTurk (Amazon, Inc), and a Qualtrics (Qualtrics International Inc) recruitment panel.
J Med Internet Res 2025;27:e60041
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We used 10-fold cross-validation [25] for hyperparameter tuning to minimize overfitting. Hyperparameters (such as lambda for L1 regularization) were tuned using a grid search.
All development was done using the Ubuntu 18.04 distribution of Gnu-Linux. Data processing and analysis were performed using the Python [26] and Julia [27] programming languages. The code used to generate the models and figures is publicly available [28].
JMIR Med Inform 2025;13:e60442
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In “Patients' Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study” (JMIR Med Inform 2025 Jan 8:13:e63703) the authors noted two errors.
The ORCID for author David P Neal was changed from:
000-0002-5531-9962
To the following:
0000-0001-7916-3299
Additionally, the author “Ellen MA Smets” was changed to “Ellen M A Smets.”
JMIR Med Inform 2025;13:e73416
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