Supervised analysis of drug prescription sequences. Ficheur, G., Chazard, E., Merlin, B., Ferret, L., Luyckx, M., & Beuscart, R. Studies in health technology and informatics, 192:293–297, 2013. ![Supervised analysis of drug prescription sequences [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Hospitals have at their disposal large databases that may be considered for reuse. The objective of this work is to evaluate the impact of a drug on a specific laboratory result by analyzing these data. This analysis first involves building a record of temporal patterns, including medical context, of drug prescriptions. Changes in outcome due to these patterns of drug prescription are assessed using short phases of the inpatient stay compared to monotonous changes in the laboratory result. To illustrate this technique, we investigated potassium chloride supplementation and its impact on kalemia. This method enables us to assess the impact of a drug (in its frequent context of prescription) on a laboratory result. This kind of analysis could play a role in post-marketing studies.
@article{ficheur_supervised_2013,
title = {Supervised analysis of drug prescription sequences},
volume = {192},
copyright = {All rights reserved},
issn = {0926-9630},
url = {http://ebooks.iospress.nl/publication/34005},
abstract = {Hospitals have at their disposal large databases that may be considered for reuse. The objective of this work is to evaluate the impact of a drug on a specific laboratory result by analyzing these data. This analysis first involves building a record of temporal patterns, including medical context, of drug prescriptions. Changes in outcome due to these patterns of drug prescription are assessed using short phases of the inpatient stay compared to monotonous changes in the laboratory result. To illustrate this technique, we investigated potassium chloride supplementation and its impact on kalemia. This method enables us to assess the impact of a drug (in its frequent context of prescription) on a laboratory result. This kind of analysis could play a role in post-marketing studies.},
language = {eng},
journal = {Studies in health technology and informatics},
author = {Ficheur, Grégoire and Chazard, Emmanuel and Merlin, Béatrice and Ferret, Laurie and Luyckx, Michel and Beuscart, Régis},
year = {2013},
pmid = {23920563},
pages = {293--297},
}
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