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Cho et al [25] used pathology reports and gold standard to generate prompt-response pairs for training and then applied GLMs to extract information for staging from pathology reports.
Despite these advancements, existing methods often struggle to capture the nuanced clinical context embedded in free-text narratives while maintaining interpretability in decision-making processes.
J Med Internet Res 2025;27:e72638
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Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study
JMIR Res Protoc 2025;14:e68012
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Jung et al [31] developed an equation model that predicts the probability of each pattern identification diagnosis given variables for stroke pattern identification and is being used for Korean medicine's standardized diagnosis of patients with stroke. Using a stroke pattern identification prediction model, the change in each pattern identified after HH333 administration was collected to obtain data for stroke treatment in Korean medicine.
JMIR Res Protoc 2025;14:e70953
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