Committee Machines with Ensembles of Multilayer Perceptron for the Support of Diagnosis of Heart Diseases
In this paper, committee machines (CM) based on ensembles of multilayer perceptron (MLP) are proposed to differentiate the diagnosis of five major heart diseases. In particular, two ensemble methods - random subspace and bagging, are considered. A heart disease database with 352 cases is used to evaluate the performance of the proposed schemes, and the experimental results show that both of the committee machines with ensembles of MLP outperforms the single MLP used in our previous study 8. Moreover, the committee machine based on the random subspace ensembles of MLP outperforms the one based on bagging ensembles. The obtained high classification accuracy proves the usefulness of the proposed committee machines in support of clinical diagnosis decision process.
Jun Zheng Yingtao Jiang Hongmei Yan
Department of Computer Science Queens College-CUNY Flushing, NY 11367, USA Department of Electrical and Computer Engineering University of Nevada, Las Vegas Las Vegas, NV 8915 Life Science and Technology Institute University of Electronic Science and Technology of China Cheng
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
2046-2050
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）