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Table 2 Performance comparison of all possible feature combinations

From: A radial basis classifier for the automatic detection of aspiration in children with dysphagia

Combination Accuracy Sensitivity Specificity Adjusted Accuracy
*D 0.711 ± 0.090 0.722 ± 0.133 0.698 ± 0.125 0.710 ± 0.089
E 0.521 ± 0.084 0.489 ± 0.170 0.589 ± 0.174 0.539 ± 0.077
Z 0.584 ± 0.115 0.703 ± 0.242 0.536 ± 0.219 0.620 ± 0.120
N 0.695 ± 0.126 0.780 ± 0.173 0.608 ± 0.165 0.694 ± 0.130
S 0.642 ± 0.099 0.557 ± 0.178 0.720 ± 0.090 0.638 ± 0.095
D-E 0.679 ± 0.101 0.656 ± 0.155 0.692 ± 0.137 0.674 ± 0.101
D-Z 0.579 ± 0.082 0.505 ± 0.195 0.673 ± 0.177 0.589 ± 0.077
*D-N 0.800 ± 0.078 0.794 ± 0.117 0.803 ± 0.128 0.798 ± 0.073
D-S 0.642 ± 0.126 0.612 ± 0.183 0.641 ± 0.219 0.627 ± 0.137
E-Z 0.563 ± 0.117 0.452 ± 0.166 0.687 ± 0.109 0.569 ± 0.118
E-N 0.758 ± 0.093 0.738 ± 0.181 0.764 ± 0.180 0.751 ± 0.090
E-S 0.537 ± 0.138 0.456 ± 0.181 0.628 ± 0.200 0.542 ± 0.141
Z-N 0.595 ± 0.134 0.226 ± 0.133 0.958 ± 0.071 0.591 ± 0.085
Z-S 0.574 ± 0.164 0.482 ± 0.304 0.693 ± 0.187 0.588 ± 0.170
N-S 0.742 ± 0.091 0.706 ± 0.146 0.783 ± 0.117 0.745 ± 0.097
D-E-Z 0.568 ± 0.128 0.481 ± 0.217 0.680 ± 0.180 0.581 ± 0.126
*D-E-N 0.821 ± 0.090 0.747 ± 0.160 0.878 ± 0.122 0.813 ± 0.085
D-E-S 0.495 ± 0.097 0.436 ± 0.194 0.532 ± 0.103 0.484 ± 0.102
D-Z-N 0.584 ± 0.139 0.304 ± 0.241 0.868 ± 0.278 0.586 ± 0.090
D-Z-S 0.605 ± 0.127 0.507 ± 0.299 0.737 ± 0.160 0.622 ± 0.143
D-N-S 0.784 ± 0.104 0.760 ± 0.176 0.809 ± 0.078 0.784 ± 0.110
E-Z-N 0.547 ± 0.109 0.071 ± 0.078 1.000 ± 0.000 0.536 ± 0.039
E-Z-S 0.553 ± 0.136 0.185 ± 0.133 0.911 ± 0.095 0.548 ± 0.083
E-N-S 0.805 ± 0.093 0.658 ± 0.168 0.922 ± 0.090 0.790 ± 0.099
Z-N-S 0.542 ± 0.127 0.072 ± 0.091 1.000 ± 0.000 0.536 ± 0.046
D-E-Z-N 0.547 ± 0.109 0.071 ± 0.078 1.000 ± 0.000 0.536 ± 0.039
D-E-Z-S 0.547 ± 0.132 0.172 ± 0.119 0.911 ± 0.095 0.542 ± 0.077
*D-E-N-S 0.811 ± 0.090 0.670 ± 0.160 0.922 ± 0.090 0.796 ± 0.095
D-Z-N-S 0.542 ± 0.127 0.072 ± 0.091 1.000 ± 0.000 0.536 ± 0.046
E-Z-N-S 0.537 ± 0.116 0.052 ± 0.081 1.000 ± 0.000 0.526 ± 0.041
*D-E-Z-N-S 0.537 ± 0.116 0.052 ± 0.081 1.000 ± 0.000 0.526 ± 0.041
  1. Note: S = stationarity, N = normality, D = dispersion ratio, Z = zero-crossings, E = energy.
  2. * denotes the best feature combination for each dimension of feature set.