A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry

PURPOSE: Advances in artificial intelligence (AI)-based named entity extraction (NER) have improved the ability to extract diagnostic entities from unstructured, narrative, free-text data in electronic health records. However, there is a lack of ready-to-use tools and workflows to encourage the use...

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Detalles Bibliográficos
Autores principales: Macri, Carmelo Z, Teoh, Sheng Chieh, Bacchi, Stephen, Tan, Ian, Casson, Robert, Sun, Michelle T, Selva, Dinesh, Chan, WengOnn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Miscellaneous
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587337/
https://www.ncbi.nlm.nih.gov/pubmed/37535181
http://dx.doi.org/10.1007/s00417-023-06190-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587337/
https://www.ncbi.nlm.nih.gov/pubmed/37535181
http://dx.doi.org/10.1007/s00417-023-06190-2

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