Analysis of factors influencing hospitalization cost based on back propagation neural network model / 中华医院管理杂志
Chinese Journal of Hospital Administration
; (12): 1007-1009, 2019.
Article
em Zh
| WPRIM
| ID: wpr-799993
Biblioteca responsável:
WPRO
ABSTRACT
Objective@#To analyze the influencing factors of hospitalization cost by back propagation(BP)neural network.@*Methods@#Inpatients with a total of 50 611 were collected from the hospital information system in a tertiary hospital. BP Neural network modeling was developed by SPSS 22.0 software to study the factors which influence the hospitalization cost.@*Results@#The hospitalization expenses prediction accuracies of training sample and test sample were 81.1% and 79.0% respectively. The top three factors were pharmaceutical cost(100.0%), general medical operation cost(88.8%)and disposable medical materials cost(60.7%).@*Conclusions@#The results show that BP model is suitable for dependent variable with the hospitalization expenses. The pharmaceutical cost, disposable medical materials cost and general medical operation cost were greater influencing factors than others. We should take actions by improving the treatment level and measures, so as to reduce the economic burden of patients and society
Texto completo:
1
Índice:
WPRIM
Tipo de estudo:
Health_economic_evaluation
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Hospital Administration
Ano de publicação:
2019
Tipo de documento:
Article