Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/94731
Type of publication: Straipsnis kituose recenzuojamuose leidiniuose / Article in other peer-reviewed editions (S5)
Field of Science: Informatika / Computer science (N009);Medicina / Medicine (M001)
Author(s): Vainoras, Alfonsas;Bernatavičienė, Jolita;Dzemyda, Gintautas;Kurasova, Olga
Title: Integration of classification and visualization for diagnosis decisions
Is part of: International journal of information technology and intelligent computing. , Vol. 1, no. 1 (2006)
Extent: p. 57-68
Date: 2006
Keywords: Multidimensional data;Visualization;Classification;Diagnosis decision
Abstract: A method of integration of classification and visualization for making diagnosis decisions is proposed. From the table of the numerical medical multidimensional data that characterise the human health state, it is difficult to decide which class the data belong to. Various classification methods can be used. However, classification errors are inevitable. Therefore, it is advisable to combine the data analysis methods of different types: in addidon to classification, visualisation of the multidimensional data (projection of the data onto a plane) may be performed. The visual analysis allows us to assign data points to one of the possible classes in a simple visual way. The results can help medics to make a preliminary diagnosis successfully or to have some doubts on the former diagnosis
Internet: https://hdl.handle.net/20.500.12259/94731
Affiliation(s): Kauno medicinos universitetas
Matematikos ir informatikos institutas
Vytauto Didžiojo universitetas
Švietimo akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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