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Natural language processing and machine learning to assist radiation oncology incident learning
PURPOSE: To develop a Natural Language Processing (NLP) and Machine Learning (ML) pipeline that can be integrated into an Incident Learning System (ILS) to assist radiation oncology incident learning by semi‐automating incident classification. Our goal was to develop ML models that can generate labe...
Autores principales: | Mathew, Felix, Wang, Hui, Montgomery, Logan, Kildea, John |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598135/ https://www.ncbi.nlm.nih.gov/pubmed/34610206 http://dx.doi.org/10.1002/acm2.13437 |
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