[Retracted] Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning

Table 1

Dataset values.

Original attribute name	New attribute name	Description
Age	Age	Age of the patient
Sex	Sex	Sex of the patient: 0 = female; 1 = male
Cp	Chest pain type	4 types of chest pain
Trestbps	Resting blood pressure	Resting blood pressure
Chol	Cholesterol	Serum cholesterol in mg/dl
Fbs	Fasting blood sugar	Fasting blood sugar > 120 mg/dl
Restecg	Resting electrocardiographic	Resting electrocardiographic results (values 0, 1, and 2)
Thalach	Maximum heart rate	Maximum heart rate
Exang	Exercise induced angina	Exercise induced angina
Oldpeak	ST depression	Oldpeak = ST depression caused by activity in comparison to rest
Slope	Slope peak exercise ST	Slope of the peak exercise ST segment
Ca	Number of major vessels	Number of major vessels (0–3) coloured by flourosopy
Thal	Thalassemia	Thal: 3 = normal; 6 = fixed defect; 7 = reversable defect