Classification Model for Estimation of Risk Factors in Cardiological Diagnostics

Authors:
Plamena Andreeva
Affiliations:
Knowledge Based Systems Department at the Institute of Control and System Research, Bulgarian Academy of Sciences, Sofia, Bulgaria 1113
Venue:
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Year:
2008

Citing 6
Cited 0

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Abstract

The proposed classification model for risk factor estimation makes semi-automatic data analysis based on advanced machine-learning methods. The objective is to provide intelligent computer-based support for medical diagnostics. The developed fuzzy boundary classification determines risk factors importance and adjusts the threshold. Experimental results are presented.