EVALUATING LARGE LANGUAGE MODELS FOR MEDICAL INFORMATION EXTRACTION: A COMPARATIVE STUDY OF ZERO-SHOT AND SCHEMA-BASED METHODS
This study investigates the application of large language models, particularly ChatGPT, in the extraction and structuring of medical information from free-text patient reports. The authors explore two distinct methods: a zero-shot extraction approach and a schema-based extraction approach. The datas...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2024-12-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/6532 |
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