FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance
- DOI
- 10.1007/978-3-030-19823-7_11
- Published
- 2019
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-19823-7_11,
title = {FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance},
author = {Corinne G. Allaart and Lena Mondrejevski and Panagiotis Papapetrou},
year = {2019},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-19823-7_11},
url = {https://doi.org/10.1007/978-3-030-19823-7_11}
}RIS
TY - JOUR TI - FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance AU - Corinne G. Allaart AU - Lena Mondrejevski AU - Panagiotis Papapetrou PY - 2019 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-19823-7_11 UR - https://doi.org/10.1007/978-3-030-19823-7_11 ER -
APA
Allaart, C. G., Mondrejevski, L., & Papapetrou, P. (2019). FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-19823-7_11
Source records
- crossref · retrieved 2026-11-09T14:37:04.260Z