吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 481-484.

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Two-stage disease prediction model based on BP neural network

SI Jian-bo1, YANG Fang2, GUO Wei-ying3, YAO Yan1   

  1. 1. Department of Epidemiology and Biostatistics, School of Public, Jilin University, Changchun 130021, China;
    2. Department of Health Management, First Hospital, Jilin University, Changchun 130021, China;
    3. Department of Endocrinology, First Hospital, Jilin University, Changchun 130021, China
  • Received:2012-08-10 Published:2013-06-01

Abstract:

BP neural network prediction model was used in diseases prediction optimized by DS evidential reasoning in order to solve the low recognition rate and credibility of BP neural network processing the multi-target prediction. From the experiments on heart disease data set, the proposed model performs well in the accuracy of prediction and its robustness.

Key words: BP neural network, DS evidential reasoning theory, disease prediction, optimal prediction model

CLC Number: 

  • R311

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