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Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning

Crossref DOI link: https://doi.org/10.1186/s12911-022-01975-7

Published Online: 2022-09-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Park, Hyung Jun

Park, Namu

Lee, Jang Ho

Choi, Myeong Geun

Ryu, Jin-Sook

Song, Min

Choi, Chang-Min
Funding

Funding for this research was provided by:

Communications techniology planning and Evaluation grant (2020-0-01361)

asan cancer institute of asan medical center
License Information

Text and Data Mining valid from 2022-09-01

Version of Record valid from 2022-09-01
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Article History

Received: 12 April 2022

Accepted: 24 August 2022

First Online: 1 September 2022

Declarations

:

: The ethics committee of Asan Medical Center approved this study, conducted following the declaration of Helsinki. Also, the ethics committee of Asan Medical Center (approval number 2020-0212) waived the informed consent due to the retrospective observational nature of the study. The clinical data extracted using the ABLE system at Asan Medical Center were indexed by de-identified encrypted patient ID numbers so that the individual patients could not be identified.

: Not applicable.

: The authors declare that they have no competing interests.

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