The reporting quality of natural language processing studies: systematic review of studies of radiology reports

The reporting quality of natural language processing studies: systematic review of studies of radiology reports

Abstract Background Automated language analysis of radiology reports using natural language processing (NLP) can provide valuable information on patients’ health and disease. With its rapid development, NLP studies should have transparent methodology to allow comparison of approaches and reproducibi...

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Bibliographic Details
Main Authors: Emma M. Davidson, Michael T. C. Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Medical Imaging
Subjects:
Natural language processing
Radiology reports
Systematic review
Online Access:https://doi.org/10.1186/s12880-021-00671-8

Internet

https://doi.org/10.1186/s12880-021-00671-8

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