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 ...

Verfasser: Kellmann, Alexander
Lanting, Pauline
Franke, L H
van Enckevort, Esther
Swertz, M A
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