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Clustering of capnogram features to track state transitions during procedural sedation.
Rebecca J. Mieloszyk
Margaret G. Guo
George C. Verghese
Gary Andolfatto
Thomas Heldt
Baruch S. Krauss
Published in:
EMBC (2015)
Keyphrases
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state transitions
co occurrence
clustering algorithm
additional features
high dimensionality
unsupervised feature selection
feature set
feature space
state transition
k means
low level
classification accuracy
similarity function
cluster analysis
data sets
high dimensional
database systems
machine learning
databases