Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning
- DOI
- 10.1186/s13104-018-3194-z
- Published
- 2018-01-27
- Container
- BMC Research Notes
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13104-018-3194-z,
title = {Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning},
author = {Anne Estrup Olesen and Debbie Grønlund and Mikkel Gram and Frank Skorpen and Asbjørn Mohr Drewes and Pål Klepstad},
year = {2018},
journal = {BMC Research Notes},
doi = {10.1186/s13104-018-3194-z},
url = {https://doi.org/10.1186/s13104-018-3194-z}
}RIS
TY - JOUR TI - Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning AU - Anne Estrup Olesen AU - Debbie Grønlund AU - Mikkel Gram AU - Frank Skorpen AU - Asbjørn Mohr Drewes AU - Pål Klepstad PY - 2018 JO - BMC Research Notes DO - 10.1186/s13104-018-3194-z UR - https://doi.org/10.1186/s13104-018-3194-z ER -
APA
Olesen, A. E., Grønlund, D., Gram, M., Skorpen, F., Drewes, A. M., & Klepstad, P. (2018). Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning. BMC Research Notes. https://doi.org/10.1186/s13104-018-3194-z
Source records
- crossref · retrieved 2026-09-26T11:50:22.611Z