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ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
April 10, 2024, 4:47 a.m. | Fernando Gallego, Guillermo L\'opez-Garc\'ia, Luis Gasco-S\'anchez, Martin Krallinger, Francisco J. Veredas
cs.CL updates on arXiv.org arxiv.org
Abstract: Advances in natural language processing techniques, such as named entity recognition and normalization to widely used standardized terminologies like UMLS or SNOMED-CT, along with the digitalization of electronic health records, have significantly advanced clinical text analysis. This study presents ClinLinker, a novel approach employing a two-phase pipeline for medical entity linking that leverages the potential of in-domain adapted language models for biomedical text mining: initial candidate retrieval using a SapBERT-based bi-encoder and subsequent re-ranking with …
abstract advanced advances analysis arxiv clinical concept cs.cl digitalization electronic electronic health records health language language processing medical natural natural language natural language processing normalization novel processing recognition records spanish study text type
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