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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
Akbaş 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