The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States.
- DOI
- 10.4103/jrms.jrms_602_22
- Published
- 2023
- Container
- Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.4103/jrms.jrms_602_22,
title = {The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States.},
author = {Mehrpour O and Saeedi F and Abdollahi J and Amirabadizadeh A and Goss F},
year = {2023},
journal = {Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences},
doi = {10.4103/jrms.jrms_602_22},
url = {https://doi.org/10.4103/jrms.jrms_602_22}
}RIS
TY - JOUR TI - The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States. AU - Mehrpour O AU - Saeedi F AU - Abdollahi J AU - Amirabadizadeh A AU - Goss F PY - 2023 JO - Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences DO - 10.4103/jrms.jrms_602_22 UR - https://doi.org/10.4103/jrms.jrms_602_22 ER -
APA
O, M., F, S., J, A., A, A., & F, G. (2023). The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States.. Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences. https://doi.org/10.4103/jrms.jrms_602_22
Source records
- pubmed · retrieved 2026-09-25T08:46:19.398Z