Combining Visual Cleansing and Exploration for Clinical Data

Christoph Schmidt
Christoph Schmidt
Martin Röhlig
Martin Röhlig
Bastian Grundel
Bastian Grundel
Philipp Daumke
Philipp Daumke
Marc Ritter
Marc Ritter
Andreas Stahl
Andreas Stahl
Paul Rosenthal
Paul Rosenthal

VAHC, pp. 25-32, 2019.

Cited by: 0|Bibtex|Views26|DOI:https://doi.org/10.1109/VAHC47919.2019.8945034
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Clinical data have their own peculiarities, as they evolve over time, may be incomplete, and are highly heterogeneous. These characteristics turn a thorough analysis into a challenging task, especially since domain experts are aware of the data flaws, which may impact their trust in the data. As we obtained anonymized clinical data from m...More

Code:

Data:

Your rating :
0

 

Tags
Comments