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Skip search results from other journals and go to results- 886 Journal of Medical Internet Research
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We employed various machine learning models such as linear regression, least absolute shrinkage and selection operator (LASSO) regression, ridge regression, elastic net, random forest, support vector machine (SVM), gradient boosting, and K-nearest neighbors. These models were chosen for their ability to handle diverse relationships in data, including linear, nonlinear, and complex interactions. Hyperparameter optimization for each model was conducted using a grid search.
JMIR Aging 2025;8:e64473
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For cases where the LLM and the medical students differed, 2 senior annotators (board-certified Emergency Medicine physicians) adjudicated 126 discrepancies after standardizing the codebook and verifying IRR (Cohen k: eligibility=0.795, deprescribing=0.745). Notably, the confusion matrix (Figure 4) revealed that a major source of discrepancy was the significantly higher likelihood of the LLM to recommend deprescribing (11.6%) compared to the medical students (1.91%).
JMIR Aging 2025;8:e69504
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Safety and Efficacy of Modular Digital Psychotherapy for Social Anxiety: Randomized Controlled Trial
J Med Internet Res 2025;27:e64138
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