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

Table 1

Description of hepatitis dataset.

Number	Attribute name	Domain values	Number of missing values
1	Age	10, 20, 30, 40, 50, 60, 70, 80	0
2	Sex	Male, female	0
3	Steroid	No, yes	1
4	Antivirals	No, yes	0
5	Fatigue	No, yes	1
6	Malaise	No, yes	1
7	Anorexia	No, yes	1
8	Liver big	No, yes	10
9	Liver firm	No, yes	11
10	Spleen palpable	No, yes	5
11	Spiders	No, yes	5
12	Ascites	No, yes	5
13	Varices	No, yes	5
14	Bilirubin	0.39, 0.80, 1.20, 2.00, 3.00, 4.00	6
15	Alk phosphate	33, 80, 120, 160, 200, 250	29
16	Sgot	13, 100, 200, 300, 400, 500	4
17	Albumin	2.1, 3.0, 3.8, 4.5, 5.0, 6.0	16
18	Protime	10, 20, 30, 40, 50, 60, 70, 80, 90	67
19	Histology	No, yes	0
20	Class	Die, live	0