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Research on Hospital Medical Expense Based on BP Neural Network

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)

Abstract

Data on hospitalization expense for coronary heart disease from 2009 to 2010 in one tertiary hospital were taken as examples, so as to construct fitting models for hospitalization expense based on BP neural network. Sensitivity analysis of influence factors was executed to evaluate the effect degrees of influence factors on hospitalization expense. The purposes of this study was to evaluate application value of BP neural network used in hospitalization expense study, explore and analyze the evaluation method fitting for the construction and character of hospitalization expense, and use medical costs rationally and control irrational increase of hospitalization expense. The results showed that the main influence factors of hospitalization expense were hospitalization days, treatment outcome, times of rescuing, and age, the comprehensive influences of which were 0.83101, 0.76113, 0.73227, and 0.44537, respectively.

Keywords

Hospitalization expense BP Neural network Influence factors Sensitivity analysis 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Feng Yin Su
    • 1
  • Jian Hui Wu
    • 1
  • Chao Chen
    • 1
  • Dong Wang
    • 1
  1. 1.Hubei Province Key Laboratory of Occupational Health and Safety for Coal Industry, Department of Epidemiology and Health StatisticsHubei United UniversityTangshanChina

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