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Predicting emergency mortality risk in traumatic brain injury: comparative analysis of machine learning and large language model GPT-5
2
Zitationen
7
Autoren
2026
Jahr
Abstract
Proper threshold calibration enables LLMs to approximate ML accuracy while offering rapid deployment and interpretability. Prompt engineering combined with adaptive cut-off tuning may enhance clinical usability of LLM-based prediction systems.
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