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Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use.

Authors :
ALBA, Patrick R.
Qiwei GAN
Mengke HU
Shu-Hong ZHU
SHERMAN, Scott E.
DUVALL, Scott L.
CONWAY, Mike
Source :
Medinfo; 2023, Vol. 310, p659-663, 5p
Publication Year :
2023

Abstract

Electronic Nicotine Delivery Systems (ENDS) use has increased substantially in the United States since 2010. To date, there is limited evidence regarding the nature and extent of ENDS documentation in the clinical note. In this work we investigate the effectiveness of different approaches to identify a patient's documented ENDS use. We report on the development and validation of a natural language processing system to identify patients with explicit documentation of ENDS using a large national cohort of patients at the United States Department of Veterans Affairs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15696332
Volume :
310
Database :
Complementary Index
Journal :
Medinfo
Publication Type :
Conference
Accession number :
175124540
Full Text :
https://doi.org/10.3233/SHTI231047