Applications: https://app.vac4eu.org/vacco
Code: https://github.com/mi-erasmusmc/vacco (public after publication)
Alignment of vaccine codes using an ontology of vaccine descriptions.
Benedikt Becker, Jan Kors, Erik Mulligen, Miriam Sturkenboom.
Journal of Biomedical Semantics, 2022.Abstract:
Motivation Vaccine information is represented in European electronic health record (EHR) databases using various clinical and database-specific coding systems and drug vocabularies. The lack of harmonization constitutes a challenge in reusing EHR data in collaborative benefit-risk studies about vaccines.
Results We designed an ontology of vaccine properties, VaccO, and implemented algorithms for the analysis of vaccine code descriptors and for the alignment of vaccine coding systems, i.e., the identification of corresponding codes from different coding systems. The alignment algorithm demonstrated excellent performance in a comparison with two manually created reference sets including clinical and database-specific coding systems using multilingual descriptors (F-scores 0.91 and 0.96). The automatic alignment of vaccine coding systems accelerates the readiness of EHR databases in collaborative vaccine studies.
Identification and normalization of vaccine descriptions in scientific literature.
Benedikt Becker, Miriam Sturkenboom, Jan Kors.
Submitted, 2018.
Last update: 2025-01-06