Neural Fuzzy Hybrid Rule-Based Inference System with Test Cases for Prediction of Heart Attack Probability

Table 1

List of attributes from Cleveland dataset to be used in the experiment.

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Attributes

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Patient age (Age)

Cholesterol (Chol)

Resting ECG result (RestECG)

Blood sugar at fasting (FBS)

ST-depression due to exercise (OldPeak)

Resting heart rate

Patient gender (sex)

Chest pain type (CP)

Heart status (Thal)

Exercise-induced angina (Exang)

Diagnosed heart disease (Num)

Patient family heart disease history

Max heart rate (Thalach)

Resting BP (RBP)

Major vessel count colored by fluoroscopy (CA)

Slope for peak exercise (slope)

Cigarette per day

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