Research paper on automated detection of dosing errors in clinical trial narratives using machine learning. Applies LightGBM gradient boosting with multi-modal feature engineering to improve accuracy in identifying medication dosing mistakes in medical documentation.
Research
Automated Detection of Dosing Errors in Clinical Trial Narratives: A Multi-Modal Feature Engineering Approach with LightGBM
LightGBM model with multi-modal feature engineering automatically catches medication dosing errors in clinical trial documentation, reducing manual review burden and improving patient safety in drug trials.
Thursday, April 23, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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