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An automated framework for predicting obstructive sleep apn..:

, In: Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments,

Samy, Lauren ; Macey, Paul M. ; Alshurafa, Nabil. - p. 1-8 , 2015

Link: https://dl.acm.org/doi/10.1145/2769493.2769541

RT 
T1 <cTitle>Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments</cTitle>: T1 <Title>An automated framework for predicting obstructive sleep apnea using a brief, daytime, non-intrusive test procedure</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2769541&Exemplar=1&LAN=DE
				
A1 Samy, Lauren
A1 Macey, Paul M.
A1 Alshurafa, Nabil
A1 Sarrafzadeh, Majid
PB ACM
YR 2015
K1 application
K1 classification
K1 evaluation
K1 non-intrusive
K1 obstructive sleep apnea
K1 outcome prediction
K1 screening
K1 Applied computing
K1 Life and medical sciences
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Machine learning approaches
K1 Markov decision processes
K1 Machine learning algorithms
K1 Feature selection
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
SP 1
OP 8
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2769493.2769541
DO https://dl.acm.org/doi/10.1145/2769493.2769541
SF ELIB - SuUB Bremen

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