Application of grade methods to medical data: new examples

• Autorzy: Pleszczyńska E.
• Języki publikacji: EN

Abstrakty

EN

Data exploration and visualization based on the Grade Correspondence Analysis is waiting for the final recognition by the statistical community. Its main points will be briefly summarized in the Introduction and Section 2 with reference to the contemporary use of Gini-Lorenz concepts and to contemporary visual approaches in analyzing large multivariate datasets. The summary will be illustrated by three recent applications to medical data: Eurostat data on self-perceived health, questionnaire data from the Children’s Memorial Health Institute in Poland and a set of data specially invented to describe NMR human brain image.

Słowa kluczowe

EN

multivariate data analysis; visualization; clustering; grade infrastructure; self-perceived health; dataset regularity; image decomposition

PL

zmienna; analiza danych; wizualizacja; grupowanie; dekompozycja obrazu

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2007
• Tom: Vol. 27, no. 3
• Strony: 77--93
• Opis fizyczny: Bibliogr. 14 poz., wykr.

Twórcy

autor

Pleszczyńska E.

• Institute of Computer Science, Polish Academy of Sciences, Ordona 21, 01-237 Warsaw, Poland,

Bibliografia

• 1. Kowalczyk T., Pleszczyńska E., Ruland F. (Eds): Grade Models and Methods for Data Analysis, With Applications for the Analysis of Data Populations, Series: Studies in Fuzziness and Soft Computing, 2004, 151, 477, Springer Verlag Berlin Heidelberg New York.
• 2. Grzegorek M.: Image Decomposition by Grade Analysis - an Illustration. In: Kurzyński M., Puchała, E., Woźniak, M., Żołnierek, A. (Eds), Computer Recognition Systems. Proceedings of the 4th International Conference on Computer Recognition Systems CORES'05, May 22-25.05.2005, Rydzyna Castle. Series:: Advances in Soft Computing. Springer Verlag: Berlin Heidelberg New York, 2005, 387-394.
• 3. Grzegorek M.: Decomposition of the fragment of brain image performed using grade data analysis methods with the aid of GradeStat program (in Polish). Proc. of XIVth Scientific Conference "Biocybernetics and Biomedical Engineering", Częstochowa 2005,21-23 Sept, 260-265.
• 4. Książyk J., Matyja O., Pleszczyńska E., Wiech M. (Eds): Analysis of medical and demographical data aided by programme GradeStat (in Polish). Institute of Computer Science of the Polish Academy of Sciences, 2005.
• 5. http://gradestat.ipipan.waw.pl/
• 6. Montanari A., Monari P.: Gini's Contribution to Multivariate Statistical Analysis. Paper on the International Conference in Memory of two Eminent Social Scientists: C. Gini and M.O. Lorenz, 23-26 May 2005, Siena, Italy, http://www.unisi.it/erenti/GiniLorenz05/programme26.htm
• 7. Mosler K., Koshevoy G. (2005): Multivariate Lorenz dominance - A review and new perspectives. Paper on the International Conference in Memory of two Eminent Social Scientists: C. Gini and M.O. Lorenz, 23-26 May 2005, Siena, Italy, http://www.unisi.it/erenti/GiniLorenz05/programme26.htm
• 8. Pitblado R., Pong R., Koren I., Heng D., Lagace C., Desmeules M.: Unequal distributions of "health": Canadian rural-urban comparisons. Paper on the International Conference in Memory of two Eminent Social Scientists: C. Gini and M.O. Lorenz, 23-26 May 2005, Siena, Italy, http://www.umsi. it/erenti/GiniLorenz05/programme26.htm
• 9. Chen C.H.: Generalized Association Plots: Information Visualization via Iteratively Generated Correlation Matrices. Statistica Sinica, 2002, 12, 7-29.
• 10. Szczesny W., Wiech M.: Visualizing Latent Structures in Grade Correspondence Cluster Analysis and Generalized Association Plots. In: Kłopotek M., Wierzchoń S., Trojanowski K. (Eds), Proceedings of the International IIS: Intelligent Information Processing and Web Mining Conference held in Ustroń, Poland, June 19-22, 2006, 211-220. Springer.
• 11. Matyja O.: Smooth Grade Correspondence Analysis and Related Computer System. Unpublished PhD thesis, Institute of Computer Science PAS, 2002.
• 12. Arnold B.C.: The Lorenz Curve: Evergreen after 100 years. Paper on the International Conference in Memory of two Eminent Social Scientists: C. Gini and M.O. Lorenz, 23-26 May 2005, Siena, Italy, http://www.unisi.it/erenti/GiniLorenz05/programme26.htm.
• 13. Pitblado J.R, Pong R.W., Heng D., Desmeules M., Lagace C.: Unequal Distributions of "Health": Canadian Rural-Urban Comparisons. Paper on the International Conference in Memory of two Eminent Social Scientists: C. Gini and M.O. Lorenz, 23-26 May 2005, Siena, Italy, http://www.umsi. it/erenti/GiniLorenz05/programme26.htm.
• 14. Grzegorek M.: Decomposition of a medical image by a new tool based on grade multivariate methodology (submitted).