Применение методов многомерного анализа в обработке медицинских данных; Технологии Microsoft в теории и практике программирования

Bibliographic Details
Parent link:Технологии Microsoft в теории и практике программирования.— 2015.— [С. 130-131]
Main Author: Былина Т. А.
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра оптимизации систем управления (ОСУ)
Other Authors: Шин М. В. (научный руководитель), Марухина О. В. Ольга Владимировна
Summary:Заглавие с титульного листа.
Medical data frequently represent multidimensional datasets as investigated factors and clinical and laboratory parameters coverage is huge. This research area is very important in terms of practical applications. We were given monthly lipid metabolism and hormonal status data of children (including children suffering from obesity) of Siberian region during a year. In this article some research results appear.
Language:Russian
Published: 2015
Series:Интеллектуальные системы и технологии
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/23834
http://www.lib.tpu.ru/fulltext/c/2015/C28/056.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=614564
Description
Summary:Заглавие с титульного листа.
Medical data frequently represent multidimensional datasets as investigated factors and clinical and laboratory parameters coverage is huge. This research area is very important in terms of practical applications. We were given monthly lipid metabolism and hormonal status data of children (including children suffering from obesity) of Siberian region during a year. In this article some research results appear.