本文在ICD-9分类的基础上,运用模糊聚类分析原理,选择有明确意义、有较强分辨力和代表性,并能直接利用医院的常规性报表数据的5项指标,且根据各项指标意义大小赋予不同的权重系数建立相似矩阵,对住院病种加以分型划类,从而有效地反映各病种在医院中的重要程度。 Based on the classification of ICD-9, this paper applies the principle of fuzzy cluster analysis to select five indicators with clear meaning, strong resolving power, and representativeness, and can directly use the hospital’s routine report data, and according to various The index’s meaning size gives different weight coefficients to establish a similarity matrix, classify in-patient disease types, and thus effectively reflect the degree of each disease in the hospital.