Papers by Gagandeep Singh
MedicalSum: A Guided Clinical Abstractive Summarization Model for Generating Medical Reports from Patient-Doctor Conversations (2022.findings-emnlp)
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| Challenge: | Existing models for summarizing medical conversations do not take clinical knowledge into account and are difficult to control. |
| Approach: | They propose a transformer-based sequence-to-sequence architecture for summarizing medical conversations by integrating medical domain knowledge from the Unified Medical Language System (UMLS). |
| Outcome: | The proposed model achieves state-of-the-art ROUGE score improvements of 0.8-2.1 points (including 6.2% error reduction in the PE section) it incorporates medical domain knowledge from the Unified Medical Language System (UMLS). |