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Prediction of adverse drug reactions using decision tree modeling

Hammann, F. and Gutmann, H. and Vogt, N. and Helma, C. and Drewe, J.. (2010) Prediction of adverse drug reactions using decision tree modeling. Clinical pharmacology and therapeutics, Vol. 88, H. 1. pp. 52-59.

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Official URL: http://edoc.unibas.ch/dok/A5840269

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Abstract

Drug safety is of great importance to public health. The detrimental effects of drugs not only limit their application but also cause suffering in individual patients and evoke distrust of pharmacotherapy. For the purpose of identifying drugs that could be suspected of causing adverse reactions, we present a structure-activity relationship analysis of adverse drug reactions (ADRs) in the central nervous system (CNS), liver, and kidney, and also of allergic reactions, for a broad variety of drugs (n = 507) from the Swiss drug registry. Using decision tree induction, a machine learning method, we determined the chemical, physical, and structural properties of compounds that predispose them to causing ADRs. The models had high predictive accuracies (78.9-90.2%) for allergic, renal, CNS, and hepatic ADRs. We show the feasibility of predicting complex end-organ effects using simple models that involve no expensive computations and that can be used (i) in the selection of the compound during the drug discovery stage, (ii) to understand how drugs interact with the target organ systems, and (iii) for generating alerts in postmarketing drug surveillance and pharmacovigilance.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedizin > Former Units at DBM > Clinical Pharmacology (Drewe)
03 Faculty of Medicine > Departement Biomedizin > Former Units at DBM > Gastroenterology (Beglinger)
03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
UniBasel Contributors:Gutmann, Heike and Drewe, Jürgen
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Mosby
ISSN:0009-9236
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:07 Dec 2012 13:03
Deposited On:07 Dec 2012 13:02

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