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Skip search results from other journals and go to results- 59 Journal of Medical Internet Research
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Assessing the Utilization of Electronic Consultations in Genetics: Seven-Year Retrospective Study
JMIR Form Res 2025;9:e63028
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In addition, we analyzed correlations so that we could intuitively examine the relationship between each variable we considered and the outcome.
The AUROC, sensitivity, positive predictive value, and accuracy at a threshold were measured to compare the performance of different models. Data processing was performed using Python version 3.6.13. The machine learning model was developed and validated using the Py Caret library version 2.3.10.
J Med Internet Res 2025;27:e59520
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The HBM posits that individuals’ health-related behaviors are influenced by their perceptions of the severity of a health condition, their susceptibility to the condition, the benefits of taking preventive action, and the barriers to doing so [28]. This model was particularly influential in the development of the app’s psychological support module, which aims to enhance patients’ motivation and confidence in condition management [29].
JMIR Mhealth Uhealth 2025;13:e63989
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eHealth Literacy 3.0: Updating the Norman and Skinner 2006 Model
As digital technology evolves, so does our understanding of the skills needed to navigate it for wellness and health care. While e Health literacy’s fundamental skills remain, model 3.0 reflects our expanded digital technology ecosystem and tool set. Greater emphasis is placed on the outcome: achieving health goals effectively and safely. Research is now needed to compare and validate model 3.0.
J Med Internet Res 2025;27:e70112
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Novel studies should aim to investigate patient-reported outcomes and standardize the variables being reported, so future meta-analyses will have wider samples to yield more conclusive evidence for staging differences in CF. In doing so, the mixed results presented in this study can be further assessed to support wider implementation of either staged or same-day CF while integrating clinically significant metrics to evaluate patient outcomes.
Interact J Med Res 2025;14:e67290
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Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study
J Med Internet Res 2025;27:e65146
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