Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:310 |
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| Enthalten in: |
Studies in health technology and informatics - 310(2024) vom: 25. Jan., Seite 659-663 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Alba, Patrick R [VerfasserIn] |
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| Links: |
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| Themen: |
Electronic cigarettes |
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| Anmerkungen: |
Date Completed 26.01.2024 Date Revised 26.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.3233/SHTI231047 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM367603152 |
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| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a DuVall, Scott L |e verfasserin |4 aut | |
| 700 | 1 | |a Conway, Mike |e verfasserin |4 aut | |
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