Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study

BACKGROUND: Natural Language Understanding enables automatic extraction of relevant information from clinical text data, which are acquired every day in hospitals. In 2018, the language model Bidirectional Encoder Representations from Transformers (BERT) was introduced, generating new state-of-the-a...

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Detalles Bibliográficos
Autores principales: Kades, Klaus, Sellner, Jan, Koehler, Gregor, Full, Peter M, Lai, T Y Emmy, Kleesiek, Jens, Maier-Hein, Klaus H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889424/
https://www.ncbi.nlm.nih.gov/pubmed/33533728
http://dx.doi.org/10.2196/22795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889424/
https://www.ncbi.nlm.nih.gov/pubmed/33533728
http://dx.doi.org/10.2196/22795

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