System for Visualizing and Analyzing Multivariate Data of Medico-Social Research; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)

Opis bibliograficzny
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 957-961]
1. autor: Gerget O. M. Olga Mikhailovna
Korporacja: Томский политехнический университет Институт кибернетики, ИК
Kolejni autorzy: Marukhina O. V. Olga Vladimirovna, Cherkashina Yu. A. Yuliya Andreevna
Streszczenie:Title screen
The paper presents a system for visualizing and analyzing multivariate data for distinguishing the major aspects of aggregating data without applying the quantitative analysis method and instant diagnosis of a pregnant woman’s health condition. The paper justifies the necessity of processing multivariate data with the use of the “NovoSpark Visualizer” specialized software suite. An illustrating example as well as the evaluation of pregnant women’s health on the basis of real data is presented.
Режим доступа: по договору с организацией-держателем ресурса
Język:angielski
Wydane: 2016
Seria:Information Technology, Data and Signal Processing
Hasła przedmiotowe:
Dostęp online:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.957
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646585
Opis
Streszczenie:Title screen
The paper presents a system for visualizing and analyzing multivariate data for distinguishing the major aspects of aggregating data without applying the quantitative analysis method and instant diagnosis of a pregnant woman’s health condition. The paper justifies the necessity of processing multivariate data with the use of the “NovoSpark Visualizer” specialized software suite. An illustrating example as well as the evaluation of pregnant women’s health on the basis of real data is presented.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.4028/www.scientific.net/KEM.685.957