Table 2.
Classification rates for each set of parameters at each set of hidden nodes, for each bolus volume. VF = only videofluoroscopic parameters included; HRM = only high-resolution manometry parameters included; HRM-only CV = only the high-resolution manometry coefficient of variation parameters included; HRM-no CV = only high-resolution manometry parameters without the coefficient of variation parameters included; All = all parameters included. All values represent percent correctly classified and are presented as mean ± standard deviation.
|
|
|||||
|---|---|---|---|---|---|
| Bolus volume | |||||
|
| |||||
| Parameters used | Nodes | 2 cc | 10 cc | Sip | |
| VF | 10 | Classification accuracy | 65.2 ± 6.9 | 67.8 ± 6.0 | 63.7 ± 6.9 |
| Sensitivity | 70.3 ± 8.3 | 63.9 ± 9.7 | 63.3 ± 8.7 | ||
| Specificity | 60.0 ± 11.0 | 71.6 ± 9.0 | 65.2 ± 8.2 | ||
|
| |||||
| 20 | Classification accuracy | 67.6 ± 8.3 | 71.0 ± 5.5 | 61.8 ± 4.6 | |
| Sensitivity | 63.2 ± 10.7 | 71.0 ± 6.6 | 62.6 ± 7.3 | ||
| Specificity | 71.9 ± 9.1 | 71.0 ± 5.5 | 61.0 ± 8.4 | ||
|
| |||||
| 30 | Classification accuracy | 70.7 ± 4.4 | 69.2 ± 3.3 | 69.2 ± 3.4 | |
| Sensitivity | 70.6 ± 3.9 | 62.9 ± 5.9 | 67.8 ± 8.0 | ||
| Specificity | 70.6 ± 9.2 | 75.4 ± 5.8 | 70.6 ± 7.4 | ||
|
| |||||
| HRM | 10 | Classification accuracy | 74.4 ± 5.4 | 75.8 ± 6.3 | 57.3 ± 3.5 |
| Sensitivity | 75.8 ±9.6 | 72.9 ± 9.0 | 62.6 ± 17.6 | ||
| Specificity | 73.9 ± 9.4 | 78.7 ± 10.9 | 51.9 ± 18.8 | ||
|
| |||||
| 20 | Classification accuracy | 78.1 ± 6.1 | 80.6 ± 6.3 | 59.0 ± 4.6 | |
| Sensitivity | 78.4 ± 7.1 | 79.4 ± 6.8 | 66.1 ± 20.9 | ||
| Specificity | 77.7 ± 9.2 | 81.9 ± 8.1 | 51.9 ± 22.5 | ||
|
| |||||
| 30 | Classification accuracy | 81.5 ± 6.1 | 80.0 ± 4.8 | 65.2 ± 6.1 | |
| Sensitivity | 81.6 ± 8.3 | 78.4 ± 6.3 | 58.4 ± 11.4 | ||
| Specificity | 81.3 ± 7.7 | 81.6 ± 8.3 | 67.1 ± 11.6 | ||
|
| |||||
| HRM-only CV | 10 | Classification accuracy | 71.1 ± 6.5 | 63.1 ± 2.9 | 62.6 ± 2.1 |
| Sensitivity | 74.8 ± 9.0 | 53.5 ± 5.7 | 57.7 ± 6.5 | ||
| Specificity | 67.4 ± 8.9 | 72.6 ± 9.3 | 67.7 ± 8.0 | ||
|
| |||||
| 20 | Classification accuracy | 72.6 ± 5.0 | 64.3 ± 2.2 | 62.1 ± 3.7 | |
| Sensitivity | 74.5 ± 6.9 | 58.7 ± 6.6 | 58.7 ± 4.2 | ||
| Specificity | 70.7 ± 7.5 | 70.0 ± 6.5 | 65.7 ± 9.0 | ||
|
| |||||
| 30 | Classification accuracy | 70.7 ± 3.7 | 64.3 ± 2.2 | 64.3 ± 2.0 | |
| Sensitivity | 73.2 ± 5.9 | 58.1 ± 9.0 | 58.4 ± 6.9 | ||
| Specificity | 68.1 ± 6.5 | 70.7 ± 8.4 | 70.3 ± 7.9 | ||
|
| |||||
| HRM-no CV | 10 | Classification accuracy | 71.3 ± 3.9 | 68.1 ± 4.4 | 56.5 ± 5.3 |
| Sensitivity | 72.3 ± 11.0 | 68.1 ± 12.4 | 55.8 ± 18.7 | ||
| Specificity | 70.3 ± 6.8 | 68.1 ± 8.4 | 57.1 ± 14.7 | ||
|
| |||||
| 20 | Classification accuracy | 72.3 ± 6.7 | 68.9 ± 6.6 | 51.8 ± 3.1 | |
| Sensitivity | 69.4 ± 9.5 | 67.7 ± 12.6 | 51.0 ± 15.7 | ||
| Specificity | 75.2 ± 6.6 | 70.0 ± 12.8 | 52.6 ± 15.7 | ||
|
| |||||
| 30 | Classification accuracy | 76.5 ± 9.1 | 69.2 ± 6.6 | 54.2 ± 4.7 | |
| Sensitivity | 76.8 ± 10.2 | 67.7 ± 7.5 | 55.8 ± 23.0 | ||
| Specificity | 76.1 ± 11.8 | 70.7 ± 6.5 | 52.6 ± 23.5 | ||
|
| |||||
| All | 10 | Classification accuracy | 79.7 ± 4.1 | 76.8 ± 7.8 | 56.0 ± 3.7 |
| Sensitivity | 78.4 ± 9.1 | 71.3 ± 8.5 | 59.0 ± 13.1 | ||
| Specificity | 81.0 ± 7.2 | 82.2 ± 13.1 | 52.9 ± 14.1 | ||
|
| |||||
| 20 | Classification accuracy | 75.5 ± 3.3 | 79.8 ± 8.7 | 52.9 ± 4.7 | |
| Sensitivity | 76.8 ± 10.1 | 79.4 ± 9.4 | 54.2 ± 9.4 | ||
| Specificity | 74.2 ± 9.0 | 80.3 ± 12.8 | 51.6 ± 8.0 | ||
|
| |||||
| 30 | Classification accuracy | 82.3 ± 5.2 | 82.1 ± 4.2 | 58.1 ± 4.2 | |
| Sensitivity | 83.9 ± 9.4 | 79.7 ± 8.7 | 59.7 ± 18.1 | ||
| Specificity | 80.6 ± 8.9 | 84.5 ± 6.9 | 56.5 ± 15.2 | ||