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Skip search results from other journals and go to results- 684 Journal of Medical Internet Research
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P1 stated, “After joining the team, I not only need to deal with the previous affairs, but also need to spend extra personal time to study and attend training, which increases the workload virtually.” Patients often seek support outside standard working hours, contributing to burnout. “The frequency of overtime work is higher, because some patients may contact you after work hours” (P15). Home visits for remote patients also add physical and logistical strain.
JMIR Med Inform 2025;13:e65445
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Mathematically, the forecast y^t+1:t+H is obtained by summing the outputs of each stack:
where Fi represents the forward projection function of the i-th stack,
and xt−L+1:t denotes the historical input sequence of length L.
The TFT model was used to predict ILI positive rates, using its hybrid structure that merges recurrent neural networks with attention mechanisms to grasp both short-term and long-term patterns.
J Med Internet Res 2025;27:e74423
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Integrating Yang and Chu’s [28] digital literacy framework with the media intervention model of Chen et al [38], we pioneer evidence of their mediating role in holistic digital inclusion. Digital engagement enhances psychological resilience through three pathways: remodeling social interactions, optimizing learning strategies, and diversifying recreational activities.
J Med Internet Res 2025;27:e71441
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Training set images were initially passed through a pretrained image encoder, which transforms the images into latent representations, referred to as image embeddings I. In this work, we used a pretrained Vi T [45] from the CLIP model [28] as the image encoder, producing embeddings of size .1 × 1024 for each image. Simultaneously, the corresponding EEG signals are processed by a custom EEG encoder, generating EEG embeddings E.
JMIR Med Inform 2025;13:e72027
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