MINGYU DEREK MA
MINGYU DEREK MA
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Memorize and Rank: Enabling Large Language Models for Medical Event Prediction
We introduce Mera, a clinical event prediction model that bridges pertaining natural language knowledge with medical code. We apply contrastive learning on a predicted ranking list for task-specialized optimization. With concept memorization through fine-tuning, we equip the LLM with an in-depth understanding to recall the natural language definitions for medical code during inference.
Mingyu Derek Ma
,
Yijia Xiao
,
Anthony Cuturrufo
,
Xiaoxuan Wang
,
Wei Wang
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DICE: Data-Efficient Clinical Event Extraction with Generative Models
We introduce DICE, a robust and data-efficient generative model for clinical event extraction, which specializes in clinical mention identification, and MACCROBAT-EE, the first clinical event extraction dataset with event argument annotation.
Mingyu Derek Ma
,
Alexander K. Taylor
,
Wei Wang
,
Nanyun Peng
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