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Updated: Jul 5, 2025

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
Published on: August 25, 2018
Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use
Patrick R Alba1,2, Qiwei Gan1,2, Mengke Hu1,2
1VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, UT, USA.
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.
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