【4/18更新】CiNii ArticlesのCiNii Researchへの統合について

情報量クラスター分析による医療圏域の階層構造の把握

書誌事項

タイトル別名
  • IDENTIFICATION OF HIERARCHICAL STRUCTURE OF HOSPITAL REGIONS BY INFORMATION CLUSTER ANALYSIS
  • ジョウホウリョウ クラスター ブンセキ ニ ヨル イリョウ ケンイキ ノ カイ

この論文をさがす

抄録

Areal subdivision of a region is essential for the rational allocation of health resources. The objective of this paper is to develop a quantitative method for identifying the hierarchical structure of hospital catchment areas by the cluster analysis using the Kullback's minimum discriminant information as a criterion of proximity. As a data set for application, a patient home-hospital flow matrix is formulated from the 1977 patient survey undertaken by the Ibaraki Prefecture. An isometric image of the hierarchical structure is drawn for each of the out-patient flow matrix and in-patient flow matrix. This method is judged superior to the conventional cluster analysis in that there is no need for the preprocessing of the matrix data and that it has no problem in treating the zero entry cell, which could be a problem for the cluster analysis using chi-square values as proximity criteria.

収録刊行物

被引用文献 (1)*注記

もっと見る

詳細情報

問題の指摘

ページトップへ