Reproduceable Visual Analytics of Multimodal Neuro-Monitoring Data: Challenges and Lessons Learned from a Data Science Perspective

Authors :: Huber, L
Hackl, W
Ianosi, BA
Rass, V
Guiza Grandas, F
Meyfroidt, G
Helbok, R
Ammenwerth, E
Source :: 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 30 /20190906/
Publication Year :: 2019
Publisher :: German Medical Science GMS Publishing House, 2019.
Abstract: Background: Multimodal Neuro-Monitoring advances the treatment of patients through continuous monitoring of different parameters and generates high volumes of electronically available data [ref:1]. One possibility to analyze this “tsunami” of data is Visual Analytics (VA) which[for full text, please go to the a.m. URL]<br />64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Subjects :: ddc: 610
multimodal medical monitoring data
data science
data mining
visual analytics
610 Medical sciences
Medicine
data visualizaton

Language :: English
Database :: OpenAIRE
Journal :: 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 30 /20190906/
Accession number :: edsair.doi.dedup.....4a6066a13f9d02aabc7e86861d2bfd0e
Full Text :: https://doi.org/10.3205/19gmds039

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