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Network Identification of Major Risk Factor Associated with Delirium by Bayesian Network
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 Title & Authors
Network Identification of Major Risk Factor Associated with Delirium by Bayesian Network
Lee, Jea-Young; Choi, Young-Jin;
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 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;
 Language
Korean
 Cited by
1.
베이지안 네트워크와 방사형 그래프를 이용한 섬망의 효과 규명,이제영;배재영;

Journal of the Korean Data and Information Science Society, 2011. vol.22. 5, pp.911-919
2.
베이지안 네트워크를 활용한 정신장애 질병 섬망의 주요 위험인자와 오즈비,이제영;최영진;

Journal of the Korean Data and Information Science Society, 2011. vol.22. 2, pp.217-225
1.
, Sustainability, 2016, 8, 2, 117  crossref(new windwow)
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