| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T125 |
0-173 |
Sentence |
denotes |
In this experiment, we used the X-data of the XPVS where the normal cases were from the RSNA data set and the COVID-19 cases were from the COVID CXR data set (CCD) data set. |
| T126 |
174-311 |
Sentence |
denotes |
The results of the five evaluation indicators for the comparison of the COVID-19 cases and normal cases of the XPVS are shown in Table 2. |
| T127 |
312-422 |
Sentence |
denotes |
An excellent performance was obtained, with the best score of specificity of 99.33% and a precision of 98.33%. |
| T128 |
423-612 |
Sentence |
denotes |
The F1 score was 96.72%, which was higher than that of the Respire. (96.12%), the Emerg. (93.94%), the Intern (84.67%), and the Rad-3rd (85.93%) and lower than that of the Rad-5th (98.41%). |
| T129 |
613-806 |
Sentence |
denotes |
The kappa index was 95.40%, which was higher than that of the Respire. (94.43%), the Emerg. (91.21%), the Intern (77.45%), and the Rad-3rd (79.42%), and lower than that of the Rad-5th (97.74%). |
| T130 |
807-997 |
Sentence |
denotes |
The sensitivity index was 95.16%, which was higher than that of the Intern (93.55%) and the Rad-3rd (93.55%) and lower than that of the Respire. (100%), the Emerg. (100%) and Rad-5th (100%). |
| T131 |
998-1163 |
Sentence |
denotes |
The receiver operating characteristic (ROC) scores for the CNNCF and the experts are plotted in Fig. 4a; the area under the ROC curve (AUROC) of the CNNCF is 0.9961. |
| T132 |
1164-1319 |
Sentence |
denotes |
The precision-recall scores for the CNNCF and the experts are plotted in Fig. 4d; the area under the precision-recall curve (AUPRC) of the CNNCF is 0.9910. |
| T133 |
1320-1640 |
Sentence |
denotes |
Table 2 Performance indices of the classification framework (CNNCF) of experiment A and the average performance of the 7th-year respiratory resident (Respira.), the 3rd-year emergency resident (Emerg.), the 1st-year respiratory intern (Intern), the 5th-year radiologist (Rad-5th), and the 3rd-year radiologist (Rad-3rd). |
| T134 |
1641-1728 |
Sentence |
denotes |
F1 (95% CI) Kappa (95% CI) Specificity (95% CI) Sensitivity (95% CI) Precision (95% CI) |
| T135 |
1729-1737 |
Sentence |
denotes |
CNNCF 0. |
| T136 |
1738-1834 |
Sentence |
denotes |
9672 (0.9307, 0.9890) 0.9540 (0.9030, 0.9924) 0.9933 (0.9792, 1.0000) 0.9516 (0.8889, 1.0000) 0. |
| T137 |
1835-1856 |
Sentence |
denotes |
9833 (0.9444, 1.0000) |
| T138 |
1857-1865 |
Sentence |
denotes |
Respire. |
| T139 |
1866-1985 |
Sentence |
denotes |
0.9612 (0.9231, 0.9920) 0.9443 (0.8912, 0.9887) 0.9667 (0.9363, 0.9933) 1.0000 (1.0000, 1.0000) 0.9254 (0.8095, 0.9571) |
| T140 |
1986-1992 |
Sentence |
denotes |
Emerg. |
| T141 |
1993-1995 |
Sentence |
denotes |
0. |
| T142 |
1996-2113 |
Sentence |
denotes |
9394 (0.8947, 0.9781) 0.9121 (0.8492, 0.9677) 0.9467 (0.9091, 0.9797) 1.0000 (1.0000, 1.0000) 0.8857 (0.8095, 0.9571) |
| T143 |
2114-2121 |
Sentence |
denotes |
Intern. |
| T144 |
2122-2240 |
Sentence |
denotes |
0.8467 (0.7692, 0.9041) 0.7745 (0.6730, 0.8592) 0.8867 (0.8333, 0.9343) 0.9355 (0.8596, 0.984) 0.7733 (0.6708, 0.8649) |
| T145 |
2241-2368 |
Sentence |
denotes |
Rad-5th 0.9841 (0.9593, 1.0000) 0.9774 (0.9433, 1.0000) 0.9867 (0.9662, 1.0000) 1.0000 (1.0000, 1.0000) 0.9688 (0.9219, 1.0000) |
| T146 |
2369-2496 |
Sentence |
denotes |
Rad-3rd 0.8593 (0.7931, 0.9180) 0.7942 (0.7062, 0.8779) 0.9000 (0.8541, 0.9481) 0.9355 (0.8666, 0.9841) 0.7945 (0.6974, 0.8873) |
| T147 |
2497-2560 |
Sentence |
denotes |
Fig. 4 ROC and PRC curves for the CNNCF of the experiments A-C. |
| T148 |
2561-2650 |
Sentence |
denotes |
NC indicates that the positive case is a COVID-19 case, and the negative case is *Normal. |
| T149 |
2651-2735 |
Sentence |
denotes |
CI indicates that the positive case is COVID-19, and the negative case is influenza. |
| T150 |
2736-2822 |
Sentence |
denotes |
The points are the results of experts, corresponding to the results in Tables 2 and 3. |
| T151 |
2823-3132 |
Sentence |
denotes |
The background gray dashed curves in the PRC curve correspond to the iso-F1 curves. a ROC curve for the NC using X-data. b ROC curve for the NC using CT-data. c ROC curve for the CI using CT-data. d PRC curve for the NC using X-data. e PRC curve for the NC using CT-data. f PRC curve for the CI using CT-data. |
