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

Table 3

Attribute information of Statlog heart disease dataset.

Number	Attribute	Description	Data type	Domain
1	Age	Patient age in year	Numerical	29 to 77
2	Sex	Gender	Binary	0 = female; 1 = male
3	Chp	Chest pain type	Nominal	1 = typical angina, 2 = atypical angina; 3 = nonanginal pain, 4 = asymptomatic
4	Bp	Resting blood pressure	Numerical	94 to 200
5	Sch	Serum cholesterol	Numerical	126 to 564
6	Fbs	Fasting blood sugar >120 mg/dL	Binary	0 = false; 1 = True
7	Ecg	Resting electrocardiographic result	Nominal	0 = normal; 1 = having ST-T wave abnormality; 2 = left ventricular hypertrophy
8	Mhrt	Maximum heart rate	Numerical	71 to 200
9	Exian	Exercise induced angina	Binary	0 = no; 1 = yes
10	Opk	Old peak	Numerical	Continuous (0 to 6.2)
11	Slope	Slope of peak exercise ST segment	Nominal	1 = upsloping; 2 = flat; 3 = downsloping
12	Vessel	Number of major vessels	Nominal	0 to 3
13	Thal	Defect type	Nominal	3 = normal, 6 = fixed defect,; 7 = reversible defect
14	Class	Heart disease	Binary	0 = absence, 1 = presence