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

Francesco Archetti, Ilaria Giordani, Enza Messina, Giulia Ogliari, Daniela Mari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009
Pages8-13
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009 - Washington, DC, United States
Duration: Nov 1 2009Nov 4 2009

Other

Other2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009
CountryUnited States
CityWashington, DC
Period11/1/0911/4/09

Fingerprint

Data Mining
Data mining
Polymorphism
Metabolism
Blood
International Normalized Ratio
Genes
Warfarin
Blood Coagulation
Thrombosis
Stroke
Therapeutics
Pharmaceutical Preparations

Keywords

  • Classification
  • Clustering
  • Markov models
  • Oral anticoagulation therapy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Archetti, F., Giordani, I., Messina, E., Ogliari, G., & Mari, D. (2009). A comparison of data mining approaches in the categorization of oral anticoagulation patients. In Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009 (pp. 8-13). [5332129] https://doi.org/10.1109/BIBMW.2009.5332129

A comparison of data mining approaches in the categorization of oral anticoagulation patients. / Archetti, Francesco; Giordani, Ilaria; Messina, Enza; Ogliari, Giulia; Mari, Daniela.

Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009. 2009. p. 8-13 5332129.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Archetti, F, Giordani, I, Messina, E, Ogliari, G & Mari, D 2009, A comparison of data mining approaches in the categorization of oral anticoagulation patients. in Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009., 5332129, pp. 8-13, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009, Washington, DC, United States, 11/1/09. https://doi.org/10.1109/BIBMW.2009.5332129
Archetti F, Giordani I, Messina E, Ogliari G, Mari D. A comparison of data mining approaches in the categorization of oral anticoagulation patients. In Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009. 2009. p. 8-13. 5332129 https://doi.org/10.1109/BIBMW.2009.5332129
Archetti, Francesco ; Giordani, Ilaria ; Messina, Enza ; Ogliari, Giulia ; Mari, Daniela. / A comparison of data mining approaches in the categorization of oral anticoagulation patients. Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009. 2009. pp. 8-13
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