Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer

PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm with manual coding by radiologists, and the combination of the two methods, for the identification of patients whose computed tomography (CT) reports raised the concern for lung cancer. METHODS: An NLP...

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Detalles Bibliográficos
Autores principales: Wadia, Roxanne, Akgun, Kathleen, Brandt, Cynthia, Fenton, Brenda T., Levin, Woody, Marple, Andrew H., Garla, Vijay, Rose, Michal G., Taddei, Tamar, Taylor, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2018
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873962/
https://www.ncbi.nlm.nih.gov/pubmed/30652545
http://dx.doi.org/10.1200/CCI.17.00069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873962/
https://www.ncbi.nlm.nih.gov/pubmed/30652545
http://dx.doi.org/10.1200/CCI.17.00069

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