AIBullisharXiv – CS AI · 14h ago6/10
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Learning Preference-Based Objectives from Clinical Narratives for Sequential Treatment Decision-Making
Researchers propose Clinical Narrative-informed Preference Rewards (CN-PR), a machine learning framework that extracts reward signals from patient discharge summaries to train reinforcement learning models for treatment decisions. The approach achieves strong alignment with clinical outcomes, including improved organ support-free days and faster shock resolution, offering a scalable alternative to traditional reward design in healthcare AI.