A SURVEY OF TRANSFORMER AND LARGE LANGUAGE MODEL STRATEGIES FOR CLINICAL ABBREVIATION DISAMBIGUATION: A SPECTRUM OF PARADIGMS
The clinical narrative is a treasure trove of patient information, yet its value is often obscured by a high density of ambiguous abbreviations. For years, resolving this ambiguity was a classic supervised learning problem, held back by data scarcity and the need to create custom models for each cas...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Ain Shams University, Faculty of Computer and Information Science
2026-03-01
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| Serie: | International Journal of Intelligent Computing and Information Sciences |
| Soggetti: | |
| Accesso online: | https://ijicis.journals.ekb.eg/article_488279_70ece93f1ad06cded4375260571f0232.pdf |
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