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http://dx.doi.org/10.5351/KJAS.2011.24.2.323

Network Identification of Major Risk Factor Associated with Delirium by Bayesian Network  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Choi, Young-Jin (Department of Statistics, Yeungnam University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.2, 2011 , pp. 323-333 More about this Journal
Abstract
We analyzed using logistic to find factors with a mental disorder because logistic is the most efficient way assess risk factors. In this paper, we applied data mining techniques that are logistic, neural network, c5.0, cart and Bayesian network to delirium data. The Bayesian network method was chosen as the best model. When delirium data were applied to the Bayesian network, we determined the risk factors associated with delirium as well as identified the network between the risk factors.
Keywords
Bayesian network; data mining; delirium mental disorder;
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