APPLICATION OF ROUGH SET-THEORY FOR CLINICAL-DATA ANALYSIS - A CASE-STUDY

被引：2

作者：

MOHAMED, ASA ^{[1
]}

机构：

[1] UNIV REGINA, DEPT COMP SCI, REGINA S4S 0A2, SASKATCHEWAN, CANADA

来源：

MATHEMATICAL AND COMPUTER MODELLING | 1991年 / 15卷 / 10期

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1016/0895-7177(91)90088-O

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper is interested in the question of clinical data reduction and decision making using the basic rough set approach. In particular, we introduce another methodology based on the entropy measure instead of the quality of classification. This methodology is implemented on a microcomputer by which the physician (decision maker) can modulate his decision by some measures for diagnosis. An example of clinical data from patients with valvular heart diseases is considered to validate the efficiency of the proposed system.

引用

页码：19 / 37

页数：19

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