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

Библиографические подробности
Источник:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 957-961]
Главный автор: Gerget O. M. Olga Mikhailovna
Автор-организация: Томский политехнический университет Институт кибернетики, ИК
Другие авторы: Marukhina O. V. Olga Vladimirovna, Cherkashina Yu. A. Yuliya Andreevna
Примечания: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
Язык:английский
Опубликовано: 2016
Серии:Information Technology, Data and Signal Processing
Предметы:
Online-ссылка:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.957
Формат: Электронный ресурс Статья
Запись в KOHA:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646585
Описание
Примечания: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