Intention-use gaps and displacement of valued activities predict social media regret more strongly than duration, with pre-session context generalizing across users and physiological signals adding person-specific predictive power.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
TF-IDF with LGBM achieved the highest AUC-ROC of 0.80 and best balance in predicting next-day discharge from clinical notes, outperforming fine-tuned compact LLMs like DistilGPT-2.
citing papers explorer
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Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes
TF-IDF with LGBM achieved the highest AUC-ROC of 0.80 and best balance in predicting next-day discharge from clinical notes, outperforming fine-tuned compact LLMs like DistilGPT-2.