Oral anticoagulation therapy, largely performed by warfarin-based drugs, is commonly used for patients with 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's response over the years is proposed. ©2009 IEEE.

Archetti, F., Giordani, I., Messina, V., Ogliari, G., Mari, D. (2009). A comparison of data mining approaches in the categorization of oral anticoagulation patients. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009 (pp.8-13) [10.1109/BIBMW.2009.5332129].

A comparison of data mining approaches in the categorization of oral anticoagulation patients

ARCHETTI, FRANCESCO ANTONIO;GIORDANI, ILARIA;MESSINA, VINCENZINA;
2009

Abstract

Oral anticoagulation therapy, largely performed by warfarin-based drugs, is commonly used for patients with 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's response over the years is proposed. ©2009 IEEE.
paper
Classification; oral anticoagulation terapy; data mining
English
IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009
2009
Chen, J; Chen, X; Ely, J; HakkaniTr, D; He, J; Hsu, HH
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009
978-1-4244-5120-3
2009
8
13
none
Archetti, F., Giordani, I., Messina, V., Ogliari, G., Mari, D. (2009). A comparison of data mining approaches in the categorization of oral anticoagulation patients. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009 (pp.8-13) [10.1109/BIBMW.2009.5332129].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/8885
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