Research Article
Fuzzy-Based Fusion Model for β-Thalassemia Carriers Prediction Using Machine Learning Technique
Table 13
Comparison of previous approaches with proposed late fusion-based ML model.
| Author | Method | Accuracy (%) | Misrate (%) |
| Sadiq et al. [28] | Random forest | 91 | 9 | Sadiq et al. [28] | Support vector machine | 90 | 10 | Sadiq et al. [28] | Gradient boosting machine | 91 | 9 | Susanto et al. [30] | Fuzzy inference system | 89.26 | 10.74 | Jahan et al. [26] | Naïve Bayes | 82.49 | 17.51 | Tyas et al. [32] | Convolutional neural network | 93.77 | 6.23 | Proposed model | Late fusion-based ML model | 96 | 4 |
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