DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction

OBJECTIVE: The manual extraction of case details from patient records for cancer surveillance efforts is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. Our goal was to develop NLP applicat...

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Detalles Bibliográficos
Autores principales: Hochheiser, Harry, Finan, Sean, Yuan, Zhou, Durbin, Eric B., Jeong, Jong Cheol, Hands, Isaac, Rust, David, Kavuluru, Ramakanth, Wu, Xiao-Cheng, Warner, Jeremy L., Savova, Guergana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187451/
https://www.ncbi.nlm.nih.gov/pubmed/37205575
http://dx.doi.org/10.1101/2023.05.05.23289524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187451/
https://www.ncbi.nlm.nih.gov/pubmed/37205575
http://dx.doi.org/10.1101/2023.05.05.23289524

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