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7篇 您的检索式：作者名="Russell Greiner"

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		题名	作者	年代	出处	被引量
	1	Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features显示文摘Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder(MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian Markov random fields. However, it is unclear whether it is possible to differentiate between phenotypic patterns associated with the differential diagnosis of schizophrenia and depression using this neurocognitive graph approach. In this study, we enrolled 215 first-episode patients with schizophrenia(FES), 125 with MDD, and 237 demographically-matched healthy controls(HCs). The cognitive performance of all participants was evaluated using a battery of neurocognitive tests. The graphical LASSO model was trained with aone-vs-one scenario to learn the conditional independent structure of neurocognitive features of each group. Participants in the holdout dataset were classified into different groups with the highest likelihood. A partial correlation matrix was transformed from the graphical model to further explore the neurocognitive graph for each group. The classification approach identified the diagnostic class for individuals with an average accuracy of 73.41% for FES vs HC, 67.07% for MDD vs HC, and 59.48% for FES vs MDD. Both of the neurocognitive graphs for FES and MDD had more connections and higher node centrality than those for HC. The neurocognitive graph for FES was less sparse and had more connections than that for MDD.Thus, neurocognitive graphs based on cognitive features are promising for describing endophenotypes that may discriminate schizophrenia from depression.	Sugai Liang Roberto Vega Xiangzhen Kong Wei Deng Qiang Wang Xiaohong Ma Mingli Li Xun Hu Andrew J.Greenshaw Russell Greiner Tao Li	2018	Neuroscience Bulletin2018，34，2：	6
	2	Learning Bayesian networks from data: an information theory based approach显示文摘	Cheng Jie Greiner Russell Kelly Jonathan	2002	Artificial Intelligence2002，37，2：	1
	3	Learning Bayesian networks from data: An information-theory based approach显示文摘	Jie Cheng Russell Greiner Jonathan Kelly	2002	Artificial Intelligence2002，137，12：	1
	4	Learning bayesian belief network classifiers: algorithms and system显示文摘	Jie Cheng Russell Greiner	2001	Lecture Notes in Computer Science2001，，：	1
	5	A correction to the algorithm in Reiter's theory of diagnosis 显示文摘	Greiner Russell Smith Barbara Anne Wilkerson Ralph Walter	1989	Artificial Intelli gence1989，41，1：	1
	6	An experimental methodology for response surface optimization methods显示文摘	Daniel Lizotte Russell Greiner Dale Schuurmans	2012	Journal of Global Optimization2012，53，4：	1
	7	Learning Bayes- ian Networks from Data, an Information - theory Based Approach 显示文摘	Cheng Jie Greiner Russell Kelly Jonathan	2002	Artificial Intelligence2002，137，12：	1

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