Research Article

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis

Table 4

Characteristics of attributes for the “CORONARY” dataset.

Attribute(s)DescriptionRangeMedian/mean (mean range)Mode () or SD (SD range)

Main attributes
 Q wave, St elevation, St depression, Tinversion, LVH, poor R progressionECG parametersYes/no
 FBSFasting blood sugar62–40011952
 EF-TTEEjection fraction—transthoracic echocardiography15–60479
 Region RWMARegional wall motion abnormalities0–40 (217)
Supplementary attributes
 AgeAge30–8658.0010.39
 WeightWeight48–12073.8311.89
 SexSexMale/femaleMale (176)
 BMIBMI18–4127.254.10
 DM, HTN, current smoker, ex-smoker, FH, obesity, CRF, airway disease, thyroid disease, CHF, DLPDiabetes mellitus, hypertension, current smoker, ex-smoker, family history, obesity, chronic renal failure, cerebrovascular accident, airway disease, thyroid disease, congestive heart failure, dyslipidemiaYes/no
 Edema, weak peripheral pulse, lung rales, systolic murmur, diastolic murmur, typical chest pain, dyspneaSymptom and examination parametersYes/no
 Cr, TG, LDL, HDL, BUN, ESR, HB, K, Na, WBC, lymph, neut, PLTLaboratory parameters (creatine, triglyceride, low density lipoprotein, high density lipoprotein, blood urea nitrogen, erythrocyte sedimentation rate, haemoglobin, potassium, sodium, white blood cell, lymphocyte, neutrophil, platelet)0.5–18,0001.05–7652.040.24–2413.74