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Skip search results from other journals and go to results- 3 JMIR Medical Informatics
- 3 Journal of Medical Internet Research
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study
This approach is similar to the findings of Wu and Liu [44] on the benefits of adaptive learning rates in NLP applications.
Guided by research on neural network training dynamics and computational constraints [44], we selected batch sizes of 10 and 50. This allowed for more frequent model updates and a finer approach to convergence.
The number of training epochs was set based on the dataset’s complexity and initial performance metrics [45] with values of 1, 5, and 10.
JMIR Med Inform 2024;12:e59782
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Toward Better Semantic Interoperability of Data Element Repositories in Medicine: Analysis Study
JMIR Med Inform 2024;12:e60293
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Mining Open Payments Data: Analysis of Industry Payments to Thoracic Surgeons From 2014-2016
J Med Internet Res 2018;20(11):e11655
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