e.g. mhealth
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Skip search results from other journals and go to results- 2 JMIR Medical Informatics
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Additionally, hybrid approaches using word-level and character-level CNNs initialized with ELMo [13] or BERT embeddings have been explored to improve the robustness and performance of sentence-level text classification models. Overall, pretrained models have significantly advanced the state-of-the-art in sentence-level text classification, and further research in this area is expected to yield even more sophisticated models.
JMIR Form Res 2025;9:e54803
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Before applying CNN to CAD development, we need to consider the robustness of CNN for inaccurate datasets. It is believed that CNN is robust to label noise [3]. Conversely, clean labels and accurate datasets are considered necessary conditions for CNN-based classification. However, the differences in complexity between datasets from Modified National Institute of Standards and Technology (MNIST) and CXRs were enormous.
JMIR Med Inform 2020;8(8):e18089
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System robustness is a characteristic that maintains some of its original performance under certain internal or external parameter perturbations. The robustness complements the system’s vulnerability to ensure the overall safety of the system, which can reduce the uncertainty impact caused by the errors or parameter errors of the first aid reasoning model of cardiac disease. System fragility and system stability and robustness are two aspects of the same problem.
JMIR Med Inform 2020;8(7):e19428
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