Application of rough set theory for clinical data analysis: A case study

Authors:
Abdalla S. A. Mohamed
Affiliations:
Department of Computer Science, University of Regina, Regina, Sask. S4S OA2, Canada
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1991

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Abstract

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.