한국병원경영학회지 (Korea Journal of Hospital Management)

한국병원경영학회 (Korean Society of Hospital Management)
권호 표지

병원간접원가의 예측수단으로서의 회귀식 모형과 인공신경망 모형에 대한 비교연구

A Comparison of the Regression and Neural Network as Predictive Tools of the Overhead Costs in Hospitals

  • 양동현 (인제대학교 보건대학원) ;
  • 박광훈 (서울산업대학교 경영학과) ;
  • 김선민 (서울산업대학교 경영학과)
  • Yang, Dong-Hyun (Graduate School of public Health, Inje University) ;
  • Park, Gwang-Hoon (Dept. of Business Adminstration Seoul National University of Technology) ;
  • Kim, Shun-Min (Dept. of Business Adminstration Seoul National University of Technology)
  • 발행 : 1999.12.31
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초록

This research aims to compare between regression and neural network in terms of the predictive ability of the overhead costs in hospitals. For this purpose, this research uses the number of out-patients and complex medical treatments as explaining variables. Thirty-one hospitals were used for the empirical test The test result shows that the regression model has a more predictive ability than the neural network.

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