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.
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© 2013 Springer-Verlag London
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Su, F., Wu, J., Chen, C., Wang, D. (2013). Research on Hospital Medical Expense Based on BP Neural Network. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 220. Springer, London. https://doi.org/10.1007/978-1-4471-4844-9_52
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DOI: https://doi.org/10.1007/978-1-4471-4844-9_52
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