Author | Classifier | Sensitivity |
---|---|---|
Jing Z. et al. (2010) [12]. | Ruled-based support vector machine | 84.39% |
Lee M. et al. (2010) [17]. | Genetic algorithm with the random subspace method | 95% |
Anand S. K. V. (2010) [18]. | Artificial neural network /inference and forecasting | 89.6% |
Kumar S A. et al. (2011) [13]. | Fuzzy system | 90% |
Dmitriy Z. et al. (2011) [19]. | Decision trees | 69% |
Chen H. et al. (2012) [14]. | Artificial neural network and multivariable logistic regression | 90% |
Kumar S. A. et al. (2013) [15]. | Artificial neural network | 89.1% |
Keshani M. et al. (2013) [16]. | Support vector machine | 89% |
Zhang F. et al. (2014) [20]. | Support vector machine and probabilistic latent semantic analysis | 83% |
Kuruvilla J. et al. (2014) [21]. | Neural network | 91.4% |
Our method (2015) | Support vector machine with radial basis function | 90.90% |