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