Abstract
The work devoted to the problem of analysis and interpretation of multi-dimensional medical data based on the generalized graphic images. The existing methods and approaches, including those proposed by the authors were considered. The main problem of data visualization is the problem of obtaining a visual image that is uniquely relevant to the data set. The authors propose an approach that allows to perform visualization of the major linear structures: segment, polyline, simplex in multidimensional spaces. Presentation of multivariate observations in a two-dimensional image (the curve) ensures that to the close by the values observation will correspond visually similar image-curves; for very different by the values observations its image-curves will be noticeably different. The results of applying this approach to the problems of practical medicine were proposed: analysis of the pregnant women physiological state dynamics, identifying hidden patterns in the structure of the physiological parameters for patients with various forms of asthma.
| Original language | English |
|---|---|
| Pages (from-to) | 18-23 |
| Number of pages | 6 |
| Journal | World Applied Sciences Journal |
| Volume | 24 |
| Issue number | 24 |
| DOIs | |
| Publication status | Published - 1 Jan 2013 |
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Keywords
- Cognitive graphics
- Generalized graphic images
- Multi-dimensional medical data
- Visualization techniques
ASJC Scopus subject areas
- General
Cite this
Multidimensional medical data visualization methods based on generalized graphic images. / Berestneva, Olga Grigor evna; Volovodenko, Vitaly Alekseevich; Gerget, Olga Mikhaylovna; Sharopin, Konstantin; Osadchaya, Irina Anatol evna.
In: World Applied Sciences Journal, Vol. 24, No. 24, 01.01.2013, p. 18-23.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multidimensional medical data visualization methods based on generalized graphic images
AU - Berestneva, Olga Grigor evna
AU - Volovodenko, Vitaly Alekseevich
AU - Gerget, Olga Mikhaylovna
AU - Sharopin, Konstantin
AU - Osadchaya, Irina Anatol evna
PY - 2013/1/1
Y1 - 2013/1/1
N2 - The work devoted to the problem of analysis and interpretation of multi-dimensional medical data based on the generalized graphic images. The existing methods and approaches, including those proposed by the authors were considered. The main problem of data visualization is the problem of obtaining a visual image that is uniquely relevant to the data set. The authors propose an approach that allows to perform visualization of the major linear structures: segment, polyline, simplex in multidimensional spaces. Presentation of multivariate observations in a two-dimensional image (the curve) ensures that to the close by the values observation will correspond visually similar image-curves; for very different by the values observations its image-curves will be noticeably different. The results of applying this approach to the problems of practical medicine were proposed: analysis of the pregnant women physiological state dynamics, identifying hidden patterns in the structure of the physiological parameters for patients with various forms of asthma.
AB - The work devoted to the problem of analysis and interpretation of multi-dimensional medical data based on the generalized graphic images. The existing methods and approaches, including those proposed by the authors were considered. The main problem of data visualization is the problem of obtaining a visual image that is uniquely relevant to the data set. The authors propose an approach that allows to perform visualization of the major linear structures: segment, polyline, simplex in multidimensional spaces. Presentation of multivariate observations in a two-dimensional image (the curve) ensures that to the close by the values observation will correspond visually similar image-curves; for very different by the values observations its image-curves will be noticeably different. The results of applying this approach to the problems of practical medicine were proposed: analysis of the pregnant women physiological state dynamics, identifying hidden patterns in the structure of the physiological parameters for patients with various forms of asthma.
KW - Cognitive graphics
KW - Generalized graphic images
KW - Multi-dimensional medical data
KW - Visualization techniques
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U2 - 10.5829/idosi.wasj.2013.24.itmies.80004
DO - 10.5829/idosi.wasj.2013.24.itmies.80004
M3 - Article
VL - 24
SP - 18
EP - 23
JO - World Applied Sciences Journal
JF - World Applied Sciences Journal
SN - 1818-4952
IS - 24
ER -