Использование визуализации при анализе медицинских данных
| Parent link: | Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов IV Международной научной конференции, 5-8 декабря 2017 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ).— , 2017 Ч. 1.— 2017.— [С. 339-342] |
|---|---|
| Auteur principal: | |
| Collectivité auteur: | |
| Autres auteurs: | |
| Résumé: | Заглавие с титульного экрана The powerful facility for information analysis is visualization facilities. Visualization of data it is a visual representation of the arrays of different information. In the article describe the importance of visualization of data. The programming language for statistical data handling and operation with R graphics is considered. And also a graphic presentation of medical data provided by the Scientific Research Institute of balneology and physiotherapy in Tomsk on the problems of the excess weight of children and teenagers, using the integrated development environment Rstudio. The analysis of the received schedule is executed. |
| Langue: | russe |
| Publié: |
2017
|
| Collection: | Математические методы и информационные технологии в медицине |
| Sujets: | |
| Accès en ligne: | http://earchive.tpu.ru/handle/11683/46148 |
| Format: | Électronique Chapitre de livre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=626078 |
| Résumé: | Заглавие с титульного экрана The powerful facility for information analysis is visualization facilities. Visualization of data it is a visual representation of the arrays of different information. In the article describe the importance of visualization of data. The programming language for statistical data handling and operation with R graphics is considered. And also a graphic presentation of medical data provided by the Scientific Research Institute of balneology and physiotherapy in Tomsk on the problems of the excess weight of children and teenagers, using the integrated development environment Rstudio. The analysis of the received schedule is executed. |
|---|