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An integrated machine learning approach to stroke predictio:

, In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining,

Khosla, Aditya ; Cao, Yu ; Lin, Cliff Chiung-Yu... - p. 183-192 , 2010

Link: https://dl.acm.org/doi/10.1145/1835804.1835830

RT 
T1 <cTitle>Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>An integrated machine learning approach to stroke prediction</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1835830&Exemplar=1&LAN=DE
				
A1 Khosla, Aditya
A1 Cao, Yu
A1 Lin, Cliff Chiung-Yu
A1 Chiu, Hsu-Kuang
A1 Hu, Junling
A1 Lee, Honglak
PB ACM
YR 2010
K1 ROC
K1 SVM
K1 benchmark
K1 classification
K1 concordance index
K1 data analysis
K1 feature selection
K1 healthcare
K1 medical data analysis
K1 prediction
K1 stroke
K1 stroke prediction
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Machine learning approaches
K1 Classification and regression trees
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Markov decision processes
K1 Applied computing
K1 Life and medical sciences
K1 Machine learning algorithms
K1 Feature selection
SP 183
OP 192
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1835804.1835830
DO https://dl.acm.org/doi/10.1145/1835804.1835830
SF ELIB - SuUB Bremen

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