Quality Management of Pulmonary Nodule Radiology Reports Based on Natural Language Processing

To investigate the feasibility of automated follow-up recommendations based on findings in radiology reports, this paper proposed a Natural Language Processing model specific for Pulmonary Nodule Radiology Reports. Unstructured findings used to describe pulmonary nodules in 48,091 radiology reports...

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Detalles Bibliográficos
Autores principales: Fei, Xiaolu, Chen, Pengyu, Wei, Lan, Huang, Yue, Xin, Yi, Li, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220149/
https://www.ncbi.nlm.nih.gov/pubmed/35735487
http://dx.doi.org/10.3390/bioengineering9060244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220149/
https://www.ncbi.nlm.nih.gov/pubmed/35735487
http://dx.doi.org/10.3390/bioengineering9060244

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