Mean-Variance Analysis of Medical Investment and Medical Products

• KAWAURA Takayuki

  School of Industrial Management, Osaka Institute of Technology

• WATADA Junzo

  School of Industrial Management, Osaka Institute of Technology

抄録

Today, deficit constitution is a serious problem in hospital management. In this paper the new methodology to decide investing budget under the consideration of its risk, which enables us to earn stable profit in the hospital management. Mean-variance analysis, which maximizes the expected profit and minimizes its risk, is employed in this paper. Neural network is applied to solve the mean-variance analysis. In this paper, the mean-variance model is transformed into the energy function to solve itself by a Boltzmann machine, and the neural approach can provide us with highly approximate solution. As an explanatory example, we discuss 1)how to distribute the budget over a virtual hospital group which consists of the main hospital, several subordinate hospitals, and 2)how to decide the production of medical products in manufacturing.

収録刊行物

• International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association

  International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association 5 (2), 91-96, 2000

  バイオメディカル・ファジィ・システム学会

キーワード

• Medical Investment
• Medical Products
• Mean-Variance Analysis
• Boltzmann Machine

詳細情報

• CRID: 1390282681057265408
• NII論文ID: 110003930502
• DOI: 10.24466/ijbschs.5.2_91
• ISSN: 2424256X
• ISSN: 21852421
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可