Generative Models for Automatic Medical Decision Rule Extraction from Text (2024.emnlp-main)
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| Challenge: | Medical decision rules are traditionally constructed by medical experts, which is expensive and hard to scale up. |
| Approach: | They propose to extract medical decision rules from text using generative models . their code will be open-source upon acceptance . |
| Outcome: | The proposed model outperforms state-of-the-art models on a Chinese benchmark and achieves 67% tree accuracy. |
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