Application of an Improved Attribute Reduction Algorithm in Diabetic Complication Diagnosis

Abstract:

Article Preview

At present, people of several major diseases that threaten human diagnosis and treatment is extremely limited, including diabetes and its complications. These diseases a great deal of pain and heavy burden to human beings. For early detection, early treatment, this paper constructed a prediction model of diabetic complications using rough set and developed a CAD system, the experiments show that the proposed rule extraction method is feasible and effective.

Info:

Periodical:

Edited by:

Yanwen Wu

Pages:

1048-1050

DOI:

10.4028/www.scientific.net/AMR.267.1048

Citation:

J. Li et al., "Application of an Improved Attribute Reduction Algorithm in Diabetic Complication Diagnosis", Advanced Materials Research, Vol. 267, pp. 1048-1050, 2011

Online since:

June 2011

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Price:

$35.00

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