Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

BACKGROUND: Deep learning (DL) has been widely used to solve problems with success in speech recognition, visual object recognition, and object detection for drug discovery and genomics. Natural language processing has achieved noticeable progress in artificial intelligence. This gives an opportunit...

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Detalles Bibliográficos
Autores principales: Zhou, Liyuan, Suominen, Hanna, Gedeon, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658232/
https://www.ncbi.nlm.nih.gov/pubmed/31021325
http://dx.doi.org/10.2196/11499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658232/
https://www.ncbi.nlm.nih.gov/pubmed/31021325
http://dx.doi.org/10.2196/11499

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