13
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Identification of echocardiographic indices for the early detection of left-ventricular systolic dysfunction in beta-thalassaemia via Self-Organizing Maps: A data-exploration study

, , , &
Pages 37-53 | Published online: 12 Jul 2009

References

  • Harrisson’s principles of internal medicine. 14th ed. New York: McGraw-Hill; 1998.
  • Peng CT, Chow KC, Chen JH, Chiang YP, Lin TY, Tsai TY. Safety monitoring of cardiac and hepatic systems in beta-thalassemia patients with chelating treatment in Taiwan. Eur J Haematol 2003;70:392 – 397.
  • Anderson LJ, Wonke B, Prescott E, Holden S, Walker MJ, Pennell DJ. Comparison of effects of oral deferiprone and subcutaneous desferrioxamine on myocardial iron concentrations and ventricular function in betathalassaemia. The Lancet 2002;360:516 – 520.
  • Wonke B, Wright C, Hoffbrand AV. Combined therapy with deferiprone and desferrioxamine. Br J Haematol 1998;103:361 – 364.
  • Aessopos A, Farmakis D, Hatziliami A, Fragodimitri C, Karabatsos F, Joussef J. Cardiac status in well-treated patients with thalassemia major. Eur J Haematol 2004;73(5):359 – 366.
  • Soukri MM, Pause CA. Statistical methods for health sciences. 2nd ed. Boca Raton, FL: CRC Press; 1998.
  • Kaski S, Kohonen T. Exploratory data analysis by the Self-Organizing Map: Stuctures of welfare and poverty in the world. In: Refenes APN, Abu-Mustafa Y, Moody J, Weigend A, editors. Neural networks in financial engineering. Proceedings of the Third International Conference on Neural Networks in the Capital Markets. Singapore: World Scientific; 1996. p. 498 – 507.
  • Han J. Data mining: Concepts and techniques. 1st ed. Morgan Kaufmann; 2000.
  • Kohonen T. Self-Organizing Maps. 3rd ed. Berlin: Springer; 2001.
  • Kangas J, Kaski S. 3043 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen. Technical report A49. Espoo, Finland: Helsinki University of Technology, Laboratory of Computer and Information Science; 1998.
  • Bortolan G, Pedrycz W. An interactive framework for an analysis of ECG signals. Artif Intell Med 2002;24(2):109 – 132.
  • Guimaraes G, Peter JH, Penzel T, Ultsch A. A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders. Artif Intell Med 2001;23(3):211 – 237.
  • Henson DB, Spenceley SE, Bull DR. Artificial neural network analysis of noisy visual field data in glaucoma. Artif Intell Med 1997;10(2):99 – 113.
  • Ngan SC, Yacoub E, Auffermann W. F, Hu X. Node merging in Kohonen’s Self-Organizing Mapping of fMRI data. Artif Intell Med 2002;25:19 – 33.31.
  • Deftereos S, Lambrinoudakis C, Gritzalis S, Georgonikou D, Andriopoulos P, Aessopos A. A macro-directive mechanism that facilitates automatic updating and processing of the contents of Electronic Healthcare Records: an extension to the CEN architecture. Med Inform Internet Med 2003;28(1):21 – 41.
  • Kohonen T. Selforganized formation of topologically correct feature maps. Biol Cybern 1982;43:59 – 69.
  • Kaski S. Data exploration using Self-Organizing Maps. Acta Polytechnica Scandinavica, Mathematics, Computing and Management in Engineering Series No. 82, Espoo 1997. Available at http://nucleus.hut.fi/ *sami/thesis.ps (accessed 20 November 2004).
  • Kaski S, Venna J, Kohonen T. Coloring that Reveals Cluster Structures in Multivariate Data. Austral J Intell Inform Process Syst 2000;6:82 – 88.
  • Kaski S, Nikkila J, Kohonen T. Methods for interpreting a self-organized map in data analysis. In: Verleysen M, editor. Proceedings of ESANN’98 European Symposium on Artificial Neural Networks, Brussels, Belgium, 1998; p. 185 – 190.
  • Vesanto J, Himberg J, Alhoniemi E, Parhankangas J. SOM Toolbox for Matlab 5. Available at http://www.cis.hut.fi/projects/somtoolbox/ (accessed 20 November 2004).
  • Ultsch A. Selforganizing neural networks for visualization and classification. In: Opitz O, Lausen B, Klar, R editors. Information and classification. Berlin: Springer, 1993;p. 307 – 313.
  • Kaski S, Nikkila J, Kohonen T. Methods for Exploratory Cluster Analysis. In: Proceedings of SSGRR 2000, International Conference on Advances in Infrastructure for Electronic Business, Science and Education on the Internet, L’Aquilla, 31 July, Scuola Superiore G. Reiss Romoli; 2000 (Proceedings on CD-ROM).
  • Kaski S, Lagus K. Comparing Self-Organizing Maps. In: von der Malsburg C, von Seelen J, Vorbruggen JC, Sendhoff B, editors. Proceedings of ICANN’ 96, International Conference on Artificial Neural Networks, Lecture Notes in Computer Science, Springer, Berlin 1996;1112:809 – 814.
  • Kiviluoto K. Topology preservation in Self-OrganizingMaps. In: Proceedings of the International Conference on Neural Networks (ICNN’96); 1996; p. 294 – 299.
  • de Bodt E, Cottrell M, Verleysen M. Statistical tools to assess the reliability of Self-Organizing Maps. Neural Neworks 2002;15:967 – 978.
  • Braunwald E, editor. Heart disease. 6th ed. Philadelphia, PA: WB Saunders; 2001.
  • Aessopos A, Tsironi M, Vassiliadis I, Farmakis D, Fountos A, Voskaridou E, Perakis A, Deftereos S, Loutradi A, Loukopoulos D. Exercise-induced myocardial perfusion abnormalities in sickle beta-thalassemia: Tc-99m tetrofosmin gated SPECT imaging study. Am J Med 2001;111:355 – 360.
  • Vesanto J. Data exploration process based on the Self-Organizing Map. Acta Polytechnica Scandinavica, Mathematics and Computing Series No. 115, Espoo 2002.
  • Feigenbaum H. Echocardiographic Evaluation of Cardiac Chambers. In: Feigenbaum H, editor. Echocardiography. 5th ed. Philadelphia, PA: Lea & Febiger; 1994. p. 134 – 173.
  • Cawse NJ. Experimental design for combinatorial and high throughput materials development. Hoboken, NJ: Wiley; 2003.
  • Bosi G, Crepaz R, Gamberini MR, Fortini M, Scarcia S, Bonsante E, et al. Left ventricular remodelling, and systolic and diastolic function in young adults with ß thalassaemia major: a Doppler echocardiographic assessment and correlation with haematological data. Heart 2003;89:762 – 766.
  • Aldouri MA, Wonke B, Hoffbrand AV, Flynn DM, Ward SE, Agnew JE, et al. High incidence of cardiomyopathy in beta-thalassemia patients receiving regular transfusion and iron chelation reversal intensified chelation. Acta Haematol 1990;84:113 – 117.
  • Valdes-Cruz LM, Reinecke C, Rutkowski M, Dudell GG, Goldberg SJ, Allen HD, et al. Preclinical abnormal segmental cardiac manifestations of thalassemia major in children on transfusion-chelation therapy: echocardiographic alterations of left ventricular posterior wall contraction and relaxation pattern. Am Heart J 1982;103:505 – 511.
  • Borow KM, Propper R, Bierman FZ, Grady S, Inati A. The left ventricular end-systolic pressure – dimension relation in patients with thalassemia major. Circulation 1982;66:980 – 985.
  • Leon MB, Borer JS, Bacharach SL, Green MV, Benz EJ Jr, Griffith P, et al. Detection of early cardiac dysfunction in patients with severe beta-thalassemia and chronic iron overload. N Engl J Med 1979;301(21):1143 – 1148.
  • Hui L, Leung MP, Ha SY, Chau AKT, Cheung YF. Early detection of left ventricular dysfunction in patients with ß thalassaemia major by dobutamine stress echocardiography. Heart 2003;89:669 – 670.
  • Spirito P, Lupi G, Melevendi C, Vecchio C. Restrictive diastolic abnormalities identified by Doppler echocardiography in patients with thalassemia major. Circulation 1990;82:88 – 94.
  • Kremastinos DT, Tsiapras DP, Tsetsos GA, Rentoukas EI, Vretou HP, Toutouzas PK. Left ventricular diastolic Doppler characteristics in ß-thalassemia major. Circulation 1993;88:1127 – 1135.
  • Kremastinos DT, Rentoukas E, Mavrogeni S, Kyriakides ZS, Politis C, Toutouzas P. Left ventricular inflow pattern in ß-thalassemia major: a Doppler echocardiographic study. Eur Heart J 1993;14:351 – 357.
  • Bland M. An introduction to medical statistics. 3rd ed. New York: Oxford Medical; 2000.
  • Farkas I. Invariance of Gaussian-vector mapping using a Self-Organizing Map. Neural Network World 1997;7(2):153 – 160.
  • Svensen M. GTM: The Generative Topographic Mapping. Ph.D. thesis. Aston University. Birmingham, UK, 1998. Available at http://www.ncrg.aston.ac.uk/GTM/thesis.html (accessed 20 November 2004).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.