A clinical text classification paradigm using weak supervision and deep representation

BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classification tasks. However, a successful machine learning mo...

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Detalles Bibliográficos
Autores principales: Wang, Yanshan, Sohn, Sunghwan, Liu, Sijia, Shen, Feichen, Wang, Liwei, Atkinson, Elizabeth J., Amin, Shreyasee, Liu, Hongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322223/
https://www.ncbi.nlm.nih.gov/pubmed/30616584
http://dx.doi.org/10.1186/s12911-018-0723-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322223/
https://www.ncbi.nlm.nih.gov/pubmed/30616584
http://dx.doi.org/10.1186/s12911-018-0723-6

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