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...

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Detalles Bibliográficos
Autores principales: Mathew, Felix, Wang, Hui, Montgomery, Logan, Kildea, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Management and Profession
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

Internet

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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