High intensity, multimodality and incoherence: grand challenges in the analysis of data for health-enabling technologies.
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).
Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig -Institute of Technology and Hannover Medical School, Germany.
Martin
M
Kohlmann
Matthias
M
Gietzelt
Michael
M
Marschollek
Bianying
B
Song
Klaus-Hendrik
KH
Wolf
Reinhold
R
Haux
D020811:Biomedical Technology / Q000145:classification*; D032882:Comprehension; D057286:Electronic Health Records / Q000145:classification*; D005858:Germany; D062527:Meaningful Use; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D009626:Terminology as Topic; D018875:Vocabulary, Controlled