Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.
- DOI
- 10.1016/j.jphs.2019.03.004
- Published
- 2019 May
- Container
- Journal of pharmacological sciences
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jphs.2019.03.004,
title = {Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.},
author = {Oyaga-Iriarte E and Insausti A and Sayar O and Aldaz A},
year = {2019},
journal = {Journal of pharmacological sciences},
doi = {10.1016/j.jphs.2019.03.004},
url = {https://doi.org/10.1016/j.jphs.2019.03.004}
}RIS
TY - JOUR TI - Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters. AU - Oyaga-Iriarte E AU - Insausti A AU - Sayar O AU - Aldaz A PY - 2019 JO - Journal of pharmacological sciences DO - 10.1016/j.jphs.2019.03.004 UR - https://doi.org/10.1016/j.jphs.2019.03.004 ER -
APA
E, O., A, I., O, S., & A, A. (2019). Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.. Journal of pharmacological sciences. https://doi.org/10.1016/j.jphs.2019.03.004
Source records
- pubmed · retrieved 2026-09-24T22:58:32.511Z