Grey relational and partial least squares regression analysis on the hospitalization expenses *
10.3969/j.issn.1671-8348.2013.23.009
- VernacularTitle:基于灰色关联与偏最小二乘回归的住院费分析
- Author:
Yalan LV
;
Runhua WANG
;
Mengliang YE
- Publication Type:Journal Article
- Keywords:
grey relational analysis;
partial least squares regression;
hospitalization expenses
- From:
Chongqing Medicine
2013;(23):2722-2724,2727
- CountryChina
- Language:Chinese
-
Abstract:
Objective To combine grey relation analysis and partial least squares regression model to establish the forecasting model of per-patient hospitalization expenses .Methods Gray relational analysis was used to filter out the main factors affecting per-patient hospitalization expenses ,and then collinearity was examined between these factors .Partial least squares regression was used to establish prediction model of per-patient hospitalization expenses ,and the prediction accuracy was proved .Results After filtered by gray relational analysis ,the order of the importance of factors affecting per-patient hospitalization expenses was the west-ern medicine fee ,traditional Chinese medicine fees ,diagnosis and treat fees ,other fees ,inspection fees ,bed fees and operation fees . The established partial least squares regression model had a higher accuracy on fitting and prediction ,with low average relative er-ror ,respectively ,-0 .000 2% and 0 .349 3% .Conclusion The gray relational analysis and partial least squares regression are suit-able for the influencing factors and prediction analysis of hospitalization costs .It provides a reference for data with the small sample size and high collinearity between the variables .
