Research Article
Fuzzy-Based Fusion Model for β-Thalassemia Carriers Prediction Using Machine Learning Technique
Table 1
Previous work accuracy and dataset status.
| Author | Method | Dataset | Accuracy (%) |
| Hirimutugoda and Wijayarathna [2] | Artificial neural network | Public | 86.54 | Sadiq et al. [28] | Random forest | Private | 91 | Sadiq et al. [28] | Support vector machine | Private | 90 | Sadiq et al. [28] | Gradient boosting machine | Private | 91 | Susanto et al. [30] | Fuzzy inference system | Public | 89.26 | Jahan et al. [26] | Artificial neural network | Private | 85.95 | Tyas et al. [32] | Convolutional neural network | Public | 93.77 |
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