Oral anticoagulation therapy, largely performed bywarfarin-based drugs, is commonly used for patientswith a high risk of blood clotting which can lead to stroke or thrombosis. The state of the patient, with respect to anticoagulation, is captured by the index INR, which is to be kept within a therapeutic range. The patients’ response is marked by high interindividual and inter-temporal variability, which can lead to serious adverse events. Polymorphisms of two genes CYP2C9 and VKORC1, considered markers of lower dosage requirements, still account for a relatively minor part of this variability. In this work, authors show that classification methods can identify groups of patients homogeneous with respect to the dynamics of INR. In particular, authors use classification methods in order to characterize patients according to their warfarin metabolism and hence their sensitivity to different doses. Finally a Markov model to capture the dynamics of the patient’sresponse over the years is proposed
A comparison of data mining approaches in the categorization of oral anticoagulation patients / F. Archetti, I. Giordani, E. Messina, G. Ogliari, D. Mari - In: Proceedings of the 2009 International workshop on Applications of Machine Learning in Bioinformatics of 2009 IEEE International Conference on Bioinformatics and Biomedicine BIBMLos Alamitos, (California) : IEEE, 2009. - ISBN 9781424451210. - pp. 8-13 (( convegno The 2009 International workshop on Applications of Machine Learning in Bioinformatics of 2009 IEEE International Conference on Bioinformatics and Biomedicine- BIBM- tenutosi a Washington, USA nel 2009 [10.1109/BIBMW.2009.5332129].
A comparison of data mining approaches in the categorization of oral anticoagulation patients
G. Ogliari;D. Mari
2009
Abstract
Oral anticoagulation therapy, largely performed bywarfarin-based drugs, is commonly used for patientswith a high risk of blood clotting which can lead to stroke or thrombosis. The state of the patient, with respect to anticoagulation, is captured by the index INR, which is to be kept within a therapeutic range. The patients’ response is marked by high interindividual and inter-temporal variability, which can lead to serious adverse events. Polymorphisms of two genes CYP2C9 and VKORC1, considered markers of lower dosage requirements, still account for a relatively minor part of this variability. In this work, authors show that classification methods can identify groups of patients homogeneous with respect to the dynamics of INR. In particular, authors use classification methods in order to characterize patients according to their warfarin metabolism and hence their sensitivity to different doses. Finally a Markov model to capture the dynamics of the patient’sresponse over the years is proposedFile | Dimensione | Formato | |
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