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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...
Autores principales: | Wang, Yanshan, Sohn, Sunghwan, Liu, Sijia, Shen, Feichen, Wang, Liwei, Atkinson, Elizabeth J., Amin, Shreyasee, Liu, Hongfang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
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 |
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