Research Article
A Dynamic Model for Imputing Missing Medical Data: A Multiobjective Particle Swarm Optimization Algorithm
Table 1
The continuous and discrete algorithms that were used in the proposed model.
| | No. | Algorithm name |
| | Discrete algorithms | | 1 | Support vector machines-linear | | 2 | Support vector machines-quadratic | | 3 | Support vector machines-polynomial | | 4 | Support vector machines-RBF = 5 | | 5 | Support vector machines-RBF = 2 | | 6 | Support vector machines-RBF = 1 | | 7 | Support vector machines-RBF = 0.5 | | 8 | Support vector machines-RBF = 0.2 | | 9 | Support vector machines-RBF = 0.1 | | 10 | 1-NN | | 11 | 3-NN | | 12 | 5-NN | | 13 | 7-NN | | 14 | 9-NN | | 15 | Decision tree (C4.5) | | 16 | Artificial neural network feed forward | | 17 | Logistic regression | | 18 | Naïve Bayesian |
| | Continuous algorithms | | 1 | Support vector regression (SVR) | | 2 | 1-NN | | 3 | 3-NN | | 4 | 5-NN | | 5 | 7-NN | | 6 | 9-NN | | 7 | Continuous decision tree (CART) | | 8 | Artificial neural network feed forward | | 9 | Multiple regression |
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