High Intensity, Multimodality and Incoherence: Grand Challenges in the Analysis of Data for Health-Enabling Technologies

被引：2

作者：

Kohlmann, Martin ^{[1
,2
]}

Gietzelt, Matthias ^{[1
,2
]}

Marschollek, Michael ^{[1
,2
]}

Song, Bianying ^{[1
,2
]}

Wolf, Klaus-Hendrik ^{[1
,2
]}

Haux, Reinhold ^{[1
,2
]}

机构：

[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Technol, Peter L Reichertz Inst Med Informat, Braunschweig, Germany

[2] Hannover Med Sch, Hannover, Germany

来源：

MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2 | 2013年 / 192卷

关键词：

health-enabling technologies; SNOCAP-HET; highly intensive; multimodal and incoherent data;

D O I：

10.3233/978-1-61499-289-9-967

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

When working with health-enabling technologies, researchers all over the world usually have to analyze highly intensive, multimodal and incoherent data. We explain that there is a lack of systematization within the set of methods of analysis suitable for these data. As a first step towards a methodology in this context, we present the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET).

引用

页码：967 / 967

页数：1