Research Article

Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network

Table 11

Accuracy of reducts for (a) hepatitis, (b) breast cancer, and (c) heart disease.
(a) Hepatitis accuracy (%)

Reduct(80–20)(70–30)(60–40)

95.293.991.2
96.692.593.2
93.991.292.5
95.291.891.2
93.991.894.6
95.994.691.8
95.293.291.2
95.292.591.8
97.395.993.9
All features87.887.186.4

(b) Breast cancer accuracy (%)

Reduct(80–20)(70–30)(60–40)

98.698.397.6
97.697.497.4
98.498.097.6
98.498.197.4
98.097.997.6
98.098.097.9
97.997.797.1
98.498.097.3
98.097.797.6
All features97.797.797.4

(c) Heart Disease Accuracy

Reduct(80–20)(70–30)(60–40)

79.678.177.4
81.181.180.4
84.884.884.4
85.983.083.3
88.984.884.1
90.488.187.8
88.187.085.9
86.385.283.3
88.585.684.8
All features84.484.184.8