Your browser doesn't support javascript.
loading
Analysis of influencing factors of hospitalization expenses based on support vector machine / 中华医院管理杂志
Chinese Journal of Hospital Administration ; (12): 392-396, 2015.
Article Dans Chinois | WPRIM | ID: wpr-463632
ABSTRACT
Objective To analyze main influencing factors of hospitalization expenses by support vector machine modeling,and explore effective influence factors analysis methods of medical expenses. Methods Random selection of six hospitals in Zhejiang province.Using hospital electronic medical record system of the hospitals and selecting three kinds of typical diseases of internal medicine and surgery,to build the support vector machine model,BP neural network model,and multiple linear regression model for comparison of analysis results.The SVM model is used to analyze three various diseases.Results The support vector machine model based on radial basis kernel function scored the highest prediction accuracy on the hospitalization expenses,up to 96.07%.In a mixed analysis of different diseases,analysis results of all three models pointed the main influence factors of hospitalization expense as days of stay,disease types,and hospital coding for the surgery.In the analysis by diseases individually,the influencing factors, though varying with diseases, key factors remain the same. Conclusion The support vector machine in the influence factor analysis is feasible in hospitalization expenses.According to the analysis results,the single disease payment system can be made rationally, which can effectively control excessive growth of medical expenses.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Évaluation en économique de la santé / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Hospital Administration Année: 2015 Type: Article

Documents relatifs à ce sujet

MEDLINE

...
LILACS

LIS

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Évaluation en économique de la santé / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Hospital Administration Année: 2015 Type: Article