Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.
- DOI
- 10.1055/s-0040-1716403
- Published
- 2020 Dec
- Container
- Methods of information in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1055/s-0040-1716403,
title = {Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.},
author = {Wulff A and Mast M and Hassler M and Montag S and Marschollek M and Jack T},
year = {2020},
journal = {Methods of information in medicine},
doi = {10.1055/s-0040-1716403},
url = {https://doi.org/10.1055/s-0040-1716403}
}RIS
TY - JOUR TI - Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing. AU - Wulff A AU - Mast M AU - Hassler M AU - Montag S AU - Marschollek M AU - Jack T PY - 2020 JO - Methods of information in medicine DO - 10.1055/s-0040-1716403 UR - https://doi.org/10.1055/s-0040-1716403 ER -
APA
A, W., M, M., M, H., S, M., M, M., & T, J. (2020). Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.. Methods of information in medicine. https://doi.org/10.1055/s-0040-1716403
Source records
- pubmed · retrieved 2026-11-11T01:20:28.809Z