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.
Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction
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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.