[Retracted] A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
Table 1
Dataset description.
Dataset description
No.
Feature name
Description
Value
1.
Age
One of the most significant risk factors for heart disease is age. The likelihood of developing heart disease increases with age.
Integer value.
2.
Sex
Displays the gender of the individual having heart disease or not.
3.
Chest pain type
It shows how often the person experiences chest pain.
3 for nonanginal pain
4.
Resting blood pressure
Blood pressure is also one of the causes. Higher blood pressure occurs with other factors leads to the high risk.
It has whether integer or float value.
5.
Cholesterol
The serum cholesterol is shown in mg/dl (unit). Your danger of a heart attack is also increased by having high blood levels of triglycerides, a form of fat connected to your diet.
It has whether integer or float value.
6.
Fasting blood sugar
Compares a person’s fasting blood sugar level to 120 mg/dl. A greater risk also results from an increase in blood sugar.
if (true) If not, value is 0 (false)
7.
Resting ECG
It displays resting electrocardiographic results.
, and
8.
Max heart rate achieved
This value is the highest heart rate achieved. It is linked with other factors such as blood pressure.
It has whether integer or float value.
9.
Exercise-induced angina
It is the chest pain induced during the exercise. Although it usually starts in the center of your chest, it can also affect one or both shoulders, as well as your back, chest, jaw, or arm.
10.
Exercise-induced ST depression compared to rest
Integer values or float value
It has whether integer or float value.
11.
Peak ST segment of exercise
When you see a horizontal or downward-sloping ST-segment depression of less than 1 mm 60–80 ms after the J point on a treadmill ECG stress test, it is deemed abnormal.
12.
Major vessels colored by fluorescence in number
Integer values or float value
It has whether integer or float value.
13.
Thalassemia
It displays thalassemia.
14.
Heart disease diagnosis
The fact that the person is either healthy or struggling from heart disease is indicated.
