Semiautomatic translation of medicine usage data (in Dutch, free-text) from Lifelines COVID-19 questionnaires to ATC codes
The mapping of human-entered data to codified data formats that can be analysed is a common problem across medical research and healthcare. To identify risk and protective factors for SARS-CoV-2 susceptibility and COVID-19 severity, frequent questionnaires were sent out to participants of the Lifelines Cohort Study starting March 30, 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 capture all other drugs used. To classify and evaluate the effects of those drugs and gr... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Kellmann , A , Lanting , P , Franke , L H , van Enckevort , E & Swertz , M A 2023 , ' Semiautomatic translation of medicine usage data (in Dutch, free-text) from Lifelines COVID-19 questionnaires to ATC codes ' , Database-The journal of biological databases and curation , vol. 2023 . https://doi.org/10.1093/database/baad019 |
Schlagwörter: | SORTA / Free-text answers / ATC codes / Dutch / Data Integration / Lifelines / COVID-19 questionnaire |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27446246 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/11370/6984cacd-fe47-4fd7-84ae-ba4eb81f978d |