Analysis of factors influencing hospitalization cost based on back propagation neural network model
10.3760/cma.j.issn.1000-6672.2019.12.010
- VernacularTitle: 基于误差反向传播神经网络模型的住院费用影响因素分析
- Author:
Shen LI
1
;
Changle ZHANG
2
;
Ke ZHANG
3
;
Jumin SONG
1
Author Information
1. Department of Medical Administration, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
2. Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
3. Office of Party Committee, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
- Publication Type:Journal Article
- Keywords:
Back propagation neural network;
Models;
Hospitalization cost;
Influencing factors
- From:
Chinese Journal of Hospital Administration
2019;35(12):1007-1009
- CountryChina
- Language:Chinese
-
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
