Research Article
A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment
Table 1
Existing work details on attribute selection over chronic disease datasets.
| Existing works | Attribute selector used | Chronic disease dataset |
| El Akadi et al. [20] | Genetic algorithm | Dengue datasets | Mokeddem et al. [21] | Genetic algorithm | Coronary artery disease | Kora and Kalva [22] | Bat algorithm | ECG signal data | Keerthi Priya et al. [23] | Whale optimization algorithm | Breast cancer and hepatitis | Uzer et al. [24] | Artificial bee colony algorithm | Liver, diabetes, and hepatitis | Dogantekin et al. [25] | Linear discriminant analysis | Hepatitis datasets | Kohavi and John [26] | Sequential forward selection | Thyroid dataset | Gandhi and Prajapati [27] | Correlation feature selection | PIMA Indian diabetes | Kavitha and Kannan [28] | Principal component analysis | Heart disease dataset | Yildirim [29] | Consistency-based subset evaluation | Hepatitis dataset | Ding and Fu [30] | Information gain | Breast cancer and diabetes dataset | Kohli and Arora [31] | Adaptive boosting | Heart disease, breast cancer, and diabetes | Mishra et al. [32] | Genetic algorithm | Diabetes | Sahoo et al. [33] | DTNB algorithm | Heart disorders |
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