Semi-automatic translation of medicine usage data (in Dutch, free-text) from Lifelines COVID-19 questionnaires to ATC codes
Abstract The mapping of human-entered data to codified data formats that can be analysed is a common problem across medical research and health care. To identify risk and protective factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) susceptibility and coronavirus disease 2019 (COVID-19) severity, frequent questionnaires were sent out to participants of the Lifelines Cohort Study starting 30 March 2020. Because specific drugs were suspected COVID-19 risk factors, the questionnaires contained multiple-choice questions about commonly used drugs and open-ended questions to ca... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Database ; volume 2023 ; ISSN 1758-0463 |
Verlag/Hrsg.: |
Oxford University Press (OUP)
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Schlagwörter: | General Agricultural and Biological Sciences / General Biochemistry / Genetics and Molecular Biology / Information Systems |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26658616 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1093/database/baad019 |