Prediction of coronary atherosclerosis progression using dynamic Bayesian networks

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3889-3892

  Exarchos, Konstantinos P ^a   Exarchos, Themis P ^a   Bourantas, Christos V ^b   Papafaklis, Michail I ^c   Naka, Katerina K ^d   Michalis, Lampros K ^d   Parodi, Oberdan ^e   Fotiadis, Dimitrios I ^a,d  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b CASTLE HILL HOSPITAL   (United Kingdom)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d UNIVERSITY OF IOANNINA   (Greece)

^e INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE STUDIES; CORONARY ARTERIES; DYNAMIC BAYESIAN NETWORKS; FOLLOW-UP STUDIES; PATIENT DATA; SOURCES OF INFORMATIONS; TIME INFORMATION;

BAYESIAN NETWORKS; FORECASTING; HOSPITAL DATA PROCESSING; PATIENT TREATMENT;

DISEASES;

ALGORITHM; BAYES THEOREM; BIOLOGICAL MODEL; CORONARY ARTERY DISEASE; DISEASE COURSE; FOLLOW UP; HUMAN; INFLAMMATION; PHENOTYPE; PROBABILITY; RISK FACTOR; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; CORONARY ARTERY DISEASE; DISEASE PROGRESSION; FOLLOW-UP STUDIES; HUMANS; INFLAMMATION; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBABILITY; RISK FACTORS;

EID: 84886471432     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610394     Document Type: Conference Paper

References (15)

1. World Health Organization. Cardiovascular Diseases, 2009.
2. M.G. Tsipouras, T.P. Exarchos, D.I. Fotiadis, A.P. Kotsia, K.V. Vakalis, K.K. Naka, L.K. Michalis, "Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling", IEEE Trans. on Biomedical Engineering, vol. 12, Issue 4, pp. 447-458, 2008.
3. C. Ordonez, "Comparing Association Rules and Decision Trees for Disease Prediction", Proc. ACM HIKM'06, Arlington, 2006.
4. C. Ordonez, N. Ezquerra and C. Santana, "Constraining and Summarizing Association Rules in Medical Data", Knowledge and Information Systems, vol. 9, Issue 3, pp. 259-283, 2006.
5. A. Reiner, C. Carlson, B. Thyagarajan, M. Rieder, J. Polak, D. Siscovick, D. Nickerson, D. Jacobs Jr, and M. Gross. "Soluble PSelectin, SELP Polymorphisms, and Atherosclerotic Risk in European- American and African-African Young Adults", in Arteriosclerosis, Thrombosis and Vascular Biology, August 2008.
6. A. Timinskas, Z. Kucinskiene, and V. Kucinskas. "Atherosclerosis: Alterations in cell communication", in ACTA MEDICA LITUANICA, vol. 14, Issue 1. P. 24-29, 2007.
7. S. Szymczak, B.W. Igl, and A. Ziegler. "Detecting SNP-expression associations: A comparison of mutual information and median test with standard statistical approaches" in Statistics in Medicine, vol. 28, pp. 3581-3596, 2009.
8. J. Stangard, S. Kardia, S. Hmon, R. Schmidt, A. Tybjaerg-Hansen, V. Salomaa, E. Boerwinkle, and C. Sing. "Contribution of regulatory and structural variations in APOE to predicting dyslipidemia", in The Journal of Lipid Research, vol. 47, pp. 318-328, 2006.
9. N. Yosef, J. Gramm, Q. Wang, W. Noble, R. Karp, and R. Sharan."Prediction Of Phenotype Information From Genotype Data", in Communications In Information And Systems, vol. 10, Issue 2, pp. 99-114, 2010.
10. F. Pan, L. McMilan, F. Pardo-Manuel De Villena, D. Threadgill, and W. Wang."TreeQA: Quantitative Genome Wide Association Mapping Using Local Perfect Phylogeny Trees", in Pac Symp Biocomputing, pp. 415-426, 2009.
11. Z. Xiang., R. M. Minter, et al. "miniTUBA: medical inference by network integration of temporal data using Bayesian analysis." Bioinformatics vol. 23(18), pp. 2423-2432, 2007.
12. M. A. van Gerven, B. G. Taal, et al. "Dynamic Bayesian networks as prognostic models for clinical patient management." J. Biomed. Inform. vol.41, pp. 515-529, 2008.
13. A. H. Marshall, L. A. Hill, et al. "Continuous Dynamic Bayesian networks for predicting survival of ischaemic heart disease patients", IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 2010.
14. P. Tretjakovs, A. Jurka, et al. "Circulating adhesion molecules, matrix metalloproteinase-9, plasminogen activator inhibitor-1, and myeloperoxidase in coronary artery disease patients with stable and unstable angina." Clin Chim Acta, vol. 413, pp. 25-29, 2012.
15. P. Spirtes, C. Glymour, and R. Sheines, "Causation, Prediction and Search". Cambridge, Massachusetts. U.S.A.: MIT Press, 2000.