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Table 1 Studies on Heart Disease Prediction using ARM

From: A novel approach for heart disease prediction using strength scores with significant predictors

Authors

Technique

No of Features Used

Evaluation Metric

Score

Dataset

AkbaÅŸ et al. [3]

Associative Rule Mining

13

Confidence

97.8 (Predicting no heart disease)

UCI

Vasanthanageswari and Vanitha [54]

Associative Rule Mining

16

NA

NA

Congenital Heart Defect Dataset

Shuriyaa and Rajendranb [42]

Associative Rule Mining + ANFIS

13

Accuracy

93.2

UCI

Sonet et al. [45]

Associative Rule Mining

13

Confidence

99

National Institute of Cardiovascular Disease, Dhaka, Bangladesh

Thanigaivel and Kumar [52]

Associative Rule Mining

25

Confidence

100

Hospital (name of the hospital not mentioned)

Srinivas et al. [49]

Associative Rule Mining and MLP

13

Accuracy

84.9

UCI

Khare and Gupta [24]

Associative Rule Mining

13

Confidence

94

UCI

Lakshmi and Reddy [27]

Associative Rule Mining

13

Accuracy

96.6

UCI

Said et al. [41]

Associative Rule Mining

13

Confidence

91

UCI

Nahar et al. [36]

Associative Rule Mining

13

Confidence

96

UCI